v0.1 init

.gitignore

+envs/*
+/models
+/summaries
+/.idea
+__pycache__/

README.md

+# Animal-AI Olympics
+
+## Overview
+
+Welcome to the repository for the Animal-AI Olympics competition where you will find all the code needed to compete in 
+this new challenge. Currently we have only released the environment (v0.1) that will be used for the competition. 
+The competition itself goes live at the end of June and until then we will be updating with bug fixes and small changes 
+to environment. For more information on the competition itself, head to the 
+[Competition Website](http://www.animalaiolympics.com/).
+
+The environment is made of an agent enclosed in a fixed sized arena. Objects can spawn in this arena, including positive and 
+negative rewards. The **main idea of this environment** is that all tests we will evaluate your agents on can be reproduced 
+using the obejcts provided in the training environment. All cognitive skills can be tested using this setup. Therefore, 
+the challenge is to **design both a learning environment as well as an learning agent** in order to perform well on the 
+tests. You can train several agents in parallel.
+
+The goal of this first release is to get feedback from the community. The final design of the environment itself will be 
+very similar to this one, however we are open to suggestion and especially bugs report! Head over the the 
+[issues page](https://github.com/beyretb/AnimalAI/issues) and open a ticket using the `suggestion` or `bug` labels 
+respectively.
+
+To get started install the requirements below, and then follow the [Quick Start Guide](documentation/quickstart.md). 
+A more in depth documentation <!--, including a primer on animal cognition,--> can be found on the 
+[Documentation Page](documentation/documentation.md).
+
+## Requirements
+
+The Animal-AI package works on most platforms. Below is the basic installation on Ubuntu. Description for 
+other platforms coming soon. <!--, for cloud engines check out [this cloud documentation](documentation/cloud.md).-->
+
+First of all your will need `python3.6` installed. You will find a list of requirements in the `requirements*.txt` files. 
+Using `pip` you can run:
+
+on Linux and mac:
+```
+pip install -r requirementsOthers.txt
+```
+
+on windows:
+```
+pip install -r requirementsWindows.txt
+```
+
+You will need to download the environment for your system:
+
+| OS | Environment link |
+| --- | --- |
+| Linux |  [download here](https://www.doc.ic.ac.uk/~bb1010/animalAI/env_linux.zip) |
+| MacOS |  coming soon |
+| Windows | [download here](https://www.doc.ic.ac.uk/~bb1010/animalAI/env_windows.zip)  |
+
+You can now unzip the content of the archive to the `env` folder and you're ready to go! Head over to 
+[Quick Start Guide](documentation/quickstart.md) for a quick overview of how the environment works.
+
+## Manual Control
+
+If you launch the environment directly from the executable or through the VisualizeArena script it will launch in player 
+mode. Here you can control the agent with the following:
+
+| Keyboard Key  | Action    |
+| --- | --- |
+| W   | move agent forwards |
+| S   | move agent backwards|
+| A   | turn agent left     |
+| D   | turn agent right    |
+| C   | switch camera       |
+| R   | reset environment   |
+
+## Unity ML-Agents
+
+The Animal-AI Olympics was built using [Unity's ML-Agents Toolkit.](https://github.com/Unity-Technologies/ml-agents)
+
+The Python library located in [animalai](animalai) is almost identical to 
+[ml-agents v0.7](https://github.com/Unity-Technologies/ml-agents/tree/master/ml-agents-envs). We only added the possibility 
+to change the configuration of arenas between episodes. For any issue not related to this feature please refer to the 
+documentation [here](https://github.com/Unity-Technologies/ml-agents/blob/master/docs/Python-API.md)
+
+Juliani, A., Berges, V., Vckay, E., Gao, Y., Henry, H., Mattar, M., Lange, D. (2018). Unity: A General Platform for 
+Intelligent Agents. *arXiv preprint arXiv:1809.02627*
+
+## Version History
+v0.1 - Initial Release
+

animalai/communicator_objects/__init__.py

+from .agent_action_proto_pb2 import *
+from .agent_info_proto_pb2 import *
+from .arena_parameters_proto_pb2 import *
+from .brain_parameters_proto_pb2 import *
+from .command_proto_pb2 import *
+from .demonstration_meta_proto_pb2 import *
+from .engine_configuration_proto_pb2 import *
+from .header_pb2 import *
+from .__init__ import *
+from .resolution_proto_pb2 import *
+from .space_type_proto_pb2 import *
+from .unity_input_pb2 import *
+from .unity_message_pb2 import *
+from .unity_output_pb2 import *
+from .unity_rl_initialization_input_pb2 import *
+from .unity_rl_initialization_output_pb2 import *
+from .unity_rl_input_pb2 import *
+from .unity_rl_output_pb2 import *
+from .unity_rl_reset_input_pb2 import *
+from .unity_rl_reset_output_pb2 import *
+from .unity_to_external_pb2_grpc import *
+from .unity_to_external_pb2 import *

animalai/communicator_objects/agent_action_proto_pb2.py

+# -*- coding: utf-8 -*-
+# Generated by the protocol buffer compiler.  DO NOT EDIT!
+# source: animalai/communicator_objects/agent_action_proto.proto
+
+import sys
+_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
+from google.protobuf import descriptor as _descriptor
+from google.protobuf import message as _message
+from google.protobuf import reflection as _reflection
+from google.protobuf import symbol_database as _symbol_database
+# @@protoc_insertion_point(imports)
+
+_sym_db = _symbol_database.Default()
+
+
+
+
+DESCRIPTOR = _descriptor.FileDescriptor(
+  name='animalai/communicator_objects/agent_action_proto.proto',
+  package='communicator_objects',
+  syntax='proto3',
+  serialized_options=_b('\252\002\034MLAgents.CommunicatorObjects'),
+  serialized_pb=_b('\n6animalai/communicator_objects/agent_action_proto.proto\x12\x14\x63ommunicator_objects\"a\n\x10\x41gentActionProto\x12\x16\n\x0evector_actions\x18\x01 \x03(\x02\x12\x14\n\x0ctext_actions\x18\x02 \x01(\t\x12\x10\n\x08memories\x18\x03 \x03(\x02\x12\r\n\x05value\x18\x04 \x01(\x02\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3')
+)
+
+
+
+
+_AGENTACTIONPROTO = _descriptor.Descriptor(
+  name='AgentActionProto',
+  full_name='communicator_objects.AgentActionProto',
+  filename=None,
+  file=DESCRIPTOR,
+  containing_type=None,
+  fields=[
+    _descriptor.FieldDescriptor(
+      name='vector_actions', full_name='communicator_objects.AgentActionProto.vector_actions', index=0,
+      number=1, type=2, cpp_type=6, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='text_actions', full_name='communicator_objects.AgentActionProto.text_actions', index=1,
+      number=2, type=9, cpp_type=9, label=1,
+      has_default_value=False, default_value=_b("").decode('utf-8'),
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='memories', full_name='communicator_objects.AgentActionProto.memories', index=2,
+      number=3, type=2, cpp_type=6, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='value', full_name='communicator_objects.AgentActionProto.value', index=3,
+      number=4, type=2, cpp_type=6, label=1,
+      has_default_value=False, default_value=float(0),
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+  ],
+  extensions=[
+  ],
+  nested_types=[],
+  enum_types=[
+  ],
+  serialized_options=None,
+  is_extendable=False,
+  syntax='proto3',
+  extension_ranges=[],
+  oneofs=[
+  ],
+  serialized_start=80,
+  serialized_end=177,
+)
+
+DESCRIPTOR.message_types_by_name['AgentActionProto'] = _AGENTACTIONPROTO
+_sym_db.RegisterFileDescriptor(DESCRIPTOR)
+
+AgentActionProto = _reflection.GeneratedProtocolMessageType('AgentActionProto', (_message.Message,), {
+  'DESCRIPTOR' : _AGENTACTIONPROTO,
+  '__module__' : 'animalai.communicator_objects.agent_action_proto_pb2'
+  # @@protoc_insertion_point(class_scope:communicator_objects.AgentActionProto)
+  })
+_sym_db.RegisterMessage(AgentActionProto)
+
+
+DESCRIPTOR._options = None
+# @@protoc_insertion_point(module_scope)

animalai/communicator_objects/agent_info_proto_pb2.py

+# -*- coding: utf-8 -*-
+# Generated by the protocol buffer compiler.  DO NOT EDIT!
+# source: animalai/communicator_objects/agent_info_proto.proto
+
+import sys
+_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
+from google.protobuf import descriptor as _descriptor
+from google.protobuf import message as _message
+from google.protobuf import reflection as _reflection
+from google.protobuf import symbol_database as _symbol_database
+# @@protoc_insertion_point(imports)
+
+_sym_db = _symbol_database.Default()
+
+
+
+
+DESCRIPTOR = _descriptor.FileDescriptor(
+  name='animalai/communicator_objects/agent_info_proto.proto',
+  package='communicator_objects',
+  syntax='proto3',
+  serialized_options=_b('\252\002\034MLAgents.CommunicatorObjects'),
+  serialized_pb=_b('\n4animalai/communicator_objects/agent_info_proto.proto\x12\x14\x63ommunicator_objects\"\x92\x02\n\x0e\x41gentInfoProto\x12\"\n\x1astacked_vector_observation\x18\x01 \x03(\x02\x12\x1b\n\x13visual_observations\x18\x02 \x03(\x0c\x12\x18\n\x10text_observation\x18\x03 \x01(\t\x12\x1d\n\x15stored_vector_actions\x18\x04 \x03(\x02\x12\x1b\n\x13stored_text_actions\x18\x05 \x01(\t\x12\x10\n\x08memories\x18\x06 \x03(\x02\x12\x0e\n\x06reward\x18\x07 \x01(\x02\x12\x0c\n\x04\x64one\x18\x08 \x01(\x08\x12\x18\n\x10max_step_reached\x18\t \x01(\x08\x12\n\n\x02id\x18\n \x01(\x05\x12\x13\n\x0b\x61\x63tion_mask\x18\x0b \x03(\x08\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3')
+)
+
+
+
+
+_AGENTINFOPROTO = _descriptor.Descriptor(
+  name='AgentInfoProto',
+  full_name='communicator_objects.AgentInfoProto',
+  filename=None,
+  file=DESCRIPTOR,
+  containing_type=None,
+  fields=[
+    _descriptor.FieldDescriptor(
+      name='stacked_vector_observation', full_name='communicator_objects.AgentInfoProto.stacked_vector_observation', index=0,
+      number=1, type=2, cpp_type=6, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='visual_observations', full_name='communicator_objects.AgentInfoProto.visual_observations', index=1,
+      number=2, type=12, cpp_type=9, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='text_observation', full_name='communicator_objects.AgentInfoProto.text_observation', index=2,
+      number=3, type=9, cpp_type=9, label=1,
+      has_default_value=False, default_value=_b("").decode('utf-8'),
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='stored_vector_actions', full_name='communicator_objects.AgentInfoProto.stored_vector_actions', index=3,
+      number=4, type=2, cpp_type=6, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='stored_text_actions', full_name='communicator_objects.AgentInfoProto.stored_text_actions', index=4,
+      number=5, type=9, cpp_type=9, label=1,
+      has_default_value=False, default_value=_b("").decode('utf-8'),
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='memories', full_name='communicator_objects.AgentInfoProto.memories', index=5,
+      number=6, type=2, cpp_type=6, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='reward', full_name='communicator_objects.AgentInfoProto.reward', index=6,
+      number=7, type=2, cpp_type=6, label=1,
+      has_default_value=False, default_value=float(0),
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='done', full_name='communicator_objects.AgentInfoProto.done', index=7,
+      number=8, type=8, cpp_type=7, label=1,
+      has_default_value=False, default_value=False,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='max_step_reached', full_name='communicator_objects.AgentInfoProto.max_step_reached', index=8,
+      number=9, type=8, cpp_type=7, label=1,
+      has_default_value=False, default_value=False,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='id', full_name='communicator_objects.AgentInfoProto.id', index=9,
+      number=10, type=5, cpp_type=1, label=1,
+      has_default_value=False, default_value=0,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='action_mask', full_name='communicator_objects.AgentInfoProto.action_mask', index=10,
+      number=11, type=8, cpp_type=7, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+  ],
+  extensions=[
+  ],
+  nested_types=[],
+  enum_types=[
+  ],
+  serialized_options=None,
+  is_extendable=False,
+  syntax='proto3',
+  extension_ranges=[],
+  oneofs=[
+  ],
+  serialized_start=79,
+  serialized_end=353,
+)
+
+DESCRIPTOR.message_types_by_name['AgentInfoProto'] = _AGENTINFOPROTO
+_sym_db.RegisterFileDescriptor(DESCRIPTOR)
+
+AgentInfoProto = _reflection.GeneratedProtocolMessageType('AgentInfoProto', (_message.Message,), {
+  'DESCRIPTOR' : _AGENTINFOPROTO,
+  '__module__' : 'animalai.communicator_objects.agent_info_proto_pb2'
+  # @@protoc_insertion_point(class_scope:communicator_objects.AgentInfoProto)
+  })
+_sym_db.RegisterMessage(AgentInfoProto)
+
+
+DESCRIPTOR._options = None
+# @@protoc_insertion_point(module_scope)

animalai/communicator_objects/arena_parameters_proto_pb2.py

+# -*- coding: utf-8 -*-
+# Generated by the protocol buffer compiler.  DO NOT EDIT!
+# source: animalai/communicator_objects/arena_parameters_proto.proto
+
+import sys
+_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
+from google.protobuf import descriptor as _descriptor
+from google.protobuf import message as _message
+from google.protobuf import reflection as _reflection
+from google.protobuf import symbol_database as _symbol_database
+# @@protoc_insertion_point(imports)
+
+_sym_db = _symbol_database.Default()
+
+
+
+
+DESCRIPTOR = _descriptor.FileDescriptor(
+  name='animalai/communicator_objects/arena_parameters_proto.proto',
+  package='communicator_objects',
+  syntax='proto3',
+  serialized_options=_b('\252\002\034MLAgents.CommunicatorObjects'),
+  serialized_pb=_b('\n:animalai/communicator_objects/arena_parameters_proto.proto\x12\x14\x63ommunicator_objects\"\xb0\x03\n\x14\x41renaParametersProto\x12\t\n\x01t\x18\x01 \x01(\x05\x12\x46\n\x05items\x18\x02 \x03(\x0b\x32\x37.communicator_objects.ArenaParametersProto.ItemsToSpawn\x12\x17\n\x0frand_all_colors\x18\x03 \x01(\x08\x12\x16\n\x0erand_all_sizes\x18\x04 \x01(\x08\x1a\x93\x02\n\x0cItemsToSpawn\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x12\n\nrand_color\x18\x02 \x01(\x08\x12R\n\tpositions\x18\x03 \x03(\x0b\x32?.communicator_objects.ArenaParametersProto.ItemsToSpawn.Vector3\x12\x11\n\trotations\x18\x04 \x03(\x02\x12N\n\x05sizes\x18\x05 \x03(\x0b\x32?.communicator_objects.ArenaParametersProto.ItemsToSpawn.Vector3\x1a*\n\x07Vector3\x12\t\n\x01x\x18\x01 \x01(\x02\x12\t\n\x01y\x18\x02 \x01(\x02\x12\t\n\x01z\x18\x03 \x01(\x02\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3')
+)
+
+
+
+
+_ARENAPARAMETERSPROTO_ITEMSTOSPAWN_VECTOR3 = _descriptor.Descriptor(
+  name='Vector3',
+  full_name='communicator_objects.ArenaParametersProto.ItemsToSpawn.Vector3',
+  filename=None,
+  file=DESCRIPTOR,
+  containing_type=None,
+  fields=[
+    _descriptor.FieldDescriptor(
+      name='x', full_name='communicator_objects.ArenaParametersProto.ItemsToSpawn.Vector3.x', index=0,
+      number=1, type=2, cpp_type=6, label=1,
+      has_default_value=False, default_value=float(0),
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='y', full_name='communicator_objects.ArenaParametersProto.ItemsToSpawn.Vector3.y', index=1,
+      number=2, type=2, cpp_type=6, label=1,
+      has_default_value=False, default_value=float(0),
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='z', full_name='communicator_objects.ArenaParametersProto.ItemsToSpawn.Vector3.z', index=2,
+      number=3, type=2, cpp_type=6, label=1,
+      has_default_value=False, default_value=float(0),
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+  ],
+  extensions=[
+  ],
+  nested_types=[],
+  enum_types=[
+  ],
+  serialized_options=None,
+  is_extendable=False,
+  syntax='proto3',
+  extension_ranges=[],
+  oneofs=[
+  ],
+  serialized_start=475,
+  serialized_end=517,
+)
+
+_ARENAPARAMETERSPROTO_ITEMSTOSPAWN = _descriptor.Descriptor(
+  name='ItemsToSpawn',
+  full_name='communicator_objects.ArenaParametersProto.ItemsToSpawn',
+  filename=None,
+  file=DESCRIPTOR,
+  containing_type=None,
+  fields=[
+    _descriptor.FieldDescriptor(
+      name='name', full_name='communicator_objects.ArenaParametersProto.ItemsToSpawn.name', index=0,
+      number=1, type=9, cpp_type=9, label=1,
+      has_default_value=False, default_value=_b("").decode('utf-8'),
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='rand_color', full_name='communicator_objects.ArenaParametersProto.ItemsToSpawn.rand_color', index=1,
+      number=2, type=8, cpp_type=7, label=1,
+      has_default_value=False, default_value=False,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='positions', full_name='communicator_objects.ArenaParametersProto.ItemsToSpawn.positions', index=2,
+      number=3, type=11, cpp_type=10, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='rotations', full_name='communicator_objects.ArenaParametersProto.ItemsToSpawn.rotations', index=3,
+      number=4, type=2, cpp_type=6, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='sizes', full_name='communicator_objects.ArenaParametersProto.ItemsToSpawn.sizes', index=4,
+      number=5, type=11, cpp_type=10, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+  ],
+  extensions=[
+  ],
+  nested_types=[_ARENAPARAMETERSPROTO_ITEMSTOSPAWN_VECTOR3, ],
+  enum_types=[
+  ],
+  serialized_options=None,
+  is_extendable=False,
+  syntax='proto3',
+  extension_ranges=[],
+  oneofs=[
+  ],
+  serialized_start=242,
+  serialized_end=517,
+)
+
+_ARENAPARAMETERSPROTO = _descriptor.Descriptor(
+  name='ArenaParametersProto',
+  full_name='communicator_objects.ArenaParametersProto',
+  filename=None,
+  file=DESCRIPTOR,
+  containing_type=None,
+  fields=[
+    _descriptor.FieldDescriptor(
+      name='t', full_name='communicator_objects.ArenaParametersProto.t', index=0,
+      number=1, type=5, cpp_type=1, label=1,
+      has_default_value=False, default_value=0,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='items', full_name='communicator_objects.ArenaParametersProto.items', index=1,
+      number=2, type=11, cpp_type=10, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='rand_all_colors', full_name='communicator_objects.ArenaParametersProto.rand_all_colors', index=2,
+      number=3, type=8, cpp_type=7, label=1,
+      has_default_value=False, default_value=False,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='rand_all_sizes', full_name='communicator_objects.ArenaParametersProto.rand_all_sizes', index=3,
+      number=4, type=8, cpp_type=7, label=1,
+      has_default_value=False, default_value=False,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+  ],
+  extensions=[
+  ],
+  nested_types=[_ARENAPARAMETERSPROTO_ITEMSTOSPAWN, ],
+  enum_types=[
+  ],
+  serialized_options=None,
+  is_extendable=False,
+  syntax='proto3',
+  extension_ranges=[],
+  oneofs=[
+  ],
+  serialized_start=85,
+  serialized_end=517,
+)
+
+_ARENAPARAMETERSPROTO_ITEMSTOSPAWN_VECTOR3.containing_type = _ARENAPARAMETERSPROTO_ITEMSTOSPAWN
+_ARENAPARAMETERSPROTO_ITEMSTOSPAWN.fields_by_name['positions'].message_type = _ARENAPARAMETERSPROTO_ITEMSTOSPAWN_VECTOR3
+_ARENAPARAMETERSPROTO_ITEMSTOSPAWN.fields_by_name['sizes'].message_type = _ARENAPARAMETERSPROTO_ITEMSTOSPAWN_VECTOR3
+_ARENAPARAMETERSPROTO_ITEMSTOSPAWN.containing_type = _ARENAPARAMETERSPROTO
+_ARENAPARAMETERSPROTO.fields_by_name['items'].message_type = _ARENAPARAMETERSPROTO_ITEMSTOSPAWN
+DESCRIPTOR.message_types_by_name['ArenaParametersProto'] = _ARENAPARAMETERSPROTO
+_sym_db.RegisterFileDescriptor(DESCRIPTOR)
+
+ArenaParametersProto = _reflection.GeneratedProtocolMessageType('ArenaParametersProto', (_message.Message,), {
+
+  'ItemsToSpawn' : _reflection.GeneratedProtocolMessageType('ItemsToSpawn', (_message.Message,), {
+
+    'Vector3' : _reflection.GeneratedProtocolMessageType('Vector3', (_message.Message,), {
+      'DESCRIPTOR' : _ARENAPARAMETERSPROTO_ITEMSTOSPAWN_VECTOR3,
+      '__module__' : 'animalai.communicator_objects.arena_parameters_proto_pb2'
+      # @@protoc_insertion_point(class_scope:communicator_objects.ArenaParametersProto.ItemsToSpawn.Vector3)
+      })
+    ,
+    'DESCRIPTOR' : _ARENAPARAMETERSPROTO_ITEMSTOSPAWN,
+    '__module__' : 'animalai.communicator_objects.arena_parameters_proto_pb2'
+    # @@protoc_insertion_point(class_scope:communicator_objects.ArenaParametersProto.ItemsToSpawn)
+    })
+  ,
+  'DESCRIPTOR' : _ARENAPARAMETERSPROTO,
+  '__module__' : 'animalai.communicator_objects.arena_parameters_proto_pb2'
+  # @@protoc_insertion_point(class_scope:communicator_objects.ArenaParametersProto)
+  })
+_sym_db.RegisterMessage(ArenaParametersProto)
+_sym_db.RegisterMessage(ArenaParametersProto.ItemsToSpawn)
+_sym_db.RegisterMessage(ArenaParametersProto.ItemsToSpawn.Vector3)
+
+
+DESCRIPTOR._options = None
+# @@protoc_insertion_point(module_scope)

animalai/communicator_objects/brain_parameters_proto_pb2.py

+# -*- coding: utf-8 -*-
+# Generated by the protocol buffer compiler.  DO NOT EDIT!
+# source: animalai/communicator_objects/brain_parameters_proto.proto
+
+import sys
+_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
+from google.protobuf import descriptor as _descriptor
+from google.protobuf import message as _message