adds exampleTraining.yaml + add chmod to readme

README.md

@@ -43,9 +43,9 @@ You will need to download the environment for your system:
 | MacOS |  [download here](https://www.doc.ic.ac.uk/~bb1010/animalAI/env_mac.zip) |
 | 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! Make sure the 
-`AnimalAI.exe/app/x_86_64` is in `env/`. Head over to [Quick Start Guide](documentation/quickstart.md) for a quick 
-overview of how the environment works.
+You can now unzip the content of the archive to the `env` folder and you're ready to go! Make sure the executable 
+`AnimalAI.*` is in `env/`. On linux you may have to make the file executable by running `chmod +x env/AnimalAI.x86_64`. 
+Head over to [Quick Start Guide](documentation/quickstart.md) for a quick overview of how the environment works.
 
 ## Manual Control
 

configs/exampleTraining.yaml

+!ArenaConfig
+arenas:
+  0: !Arena
+    t: 1000
+    rand_all_colors: true
+    rand_all_sizes: true
+    items:
+    - !Item
+      name: Beam1
+      positions: []
+      rand_color: false
+      rotations: []
+      sizes: []
+    - !Item
+      name: Cylinder
+      positions: []
+      rand_color: false
+      rotations: []
+      sizes: []
+    - !Item
+      name: GoodGoal
+      positions: []
+      rand_color: false
+      rotations: []
+      sizes: []
+  1: !Arena
+    t: 1000
+    rand_all_colors: false
+    rand_all_sizes: true
+    items:
+    - !Item
+      name: TransparentWall
+      positions: []
+      rand_color: false
+      rotations: []
+      sizes: []
+    - !Item
+      name: GoodGoal
+      positions: []
+      rand_color: false
+      rotations: []
+      sizes: []
+  2: !Arena
+    t: 1000
+    rand_all_colors: false
+    rand_all_sizes: true
+    items:
+      - !Item
+        name: Cardbox1
+        positions: []
+        rand_color: false
+        rotations: []
+        sizes: []
+      - !Item
+        name: BadGoal
+        positions: []
+        rand_color: false
+        rotations: []
+        sizes: []
+      - !Item
+        name: GoodGoal
+        positions: []
+        rand_color: false
+        rotations: []
+        sizes: []
+  3: !Arena
+    t: 1000
+    rand_all_colors: false
+    rand_all_sizes: true
+    items:
+      - !Item
+        name: DeathZone
+        positions: []
+        rand_color: false
+        rotations: []
+        sizes: []
+      - !Item
+        name: GoodGoal
+        positions: []
+        rand_color: false
+        rotations: []
+        sizes: []
\ No newline at end of file

train.py

@@ -8,7 +8,7 @@ import sys
 
 
 # ML-agents parameters for training
-env_path = 'envs/AnimalAI'
+env_path = 'env/AnimalAI'
 worker_id = random.randint(1, 100)
 seed = 10
 base_port = 5005