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Commit b8840937 authored by Benjamin's avatar Benjamin
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move versions to documentation page

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README.md
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......@@ -145,83 +145,4 @@ Deshraj Yadav, Rishabh Jain, Harsh Agrawal, Prithvijit Chattopadhyay, Taranjeet
- GoodGoalMulti are now yellow with the same texture (light emitting) as GoodGoal and BadGoal
- The whole project including the Unity source is now available on [our ml-agents fork](https://github.com/beyretb/ml-agents)
- v1.1.1
- Hotfix curriculum loading in the wrong order
- v1.1.0
- Add curriculum learning to `animalai-train` to use yaml configurations
- v1.0.5
- ~~Adds customisable resolution during evaluation~~ (removed, evaluation is only `84x84`)
- Update `animalai-train` to tf 1.14 to fix `gin` broken dependency
- Release source code for the environment (no support to be provided on this for now)
- Fixes some legacy dependencies and typos in both libraries
- v1.0.3
- Adds inference mode to Gym environment
- Adds seed to Gym Environment
- Submission example folder containing a trained agent
- Provide submission details for the competition
- Documentation for training on AWS
- v1.0.2
- Adds custom resolution for docker training as well
- Fix version checker
- v1.0.0
- Adds custom resolution to both Unity and Gym environments
- Adds inference mode to the environment to visualize trained agents
- Prizes announced
- More details about the competition
- v0.6.1 (Environment only)
- Fix rare events of agent falling through the floor or objects flying in the air when resetting an arena
- v0.6.0
- Adds score in playmode (current and previous scores)
- Playmode now incorporates lights off directly (in `examples` try: `python visualizeArena.py configs/lightsOff.yaml`)
- To simplify the environment several unnecessary objects have been removed [see here](documentation/definitionsOfObjects.md)
- **Several object properties have been changed** [also here](documentation/definitionsOfObjects.md)
- Frames per action reduced from 5 to 3 (*i.e.*: for each action you send we repeat it for a certain number of frames
to ensure smooth physics)
- Add versions compatibility check between the environment and API
- Remove `step_number` argument from `animalai.environment.step`
- v0.5 Package `animalai`, gym compatible, dopamine example, bug fixes
- Separate environment API and training API in Python
- Release both as `animalai` and `animalai-train` PyPI packages (for `pip` installs)
- Agent speed in play-mode constant across various platforms
- Provide Gym environment
- Add `trainBaselines,py` to train using `dopamine` and the Gym wrapper
- Create the `agent.py` interface for agents submission
- Add the `HotZone` object (equivalent to the red zone but without death)
- v0.4 - Lights off moved to Unity, colors configurations, proportional goals, bugs fixes
- The light is now directly switched on/off within Unity, configuration files stay the same
- Blackouts now work with infinite episodes (`t=0`)
- The `rand_colors` configurations have been removed and the user can now pass `RGB` values, see
[here](documentation/configFile.md#objects)
- Rewards for goals are now proportional to their size (except for the `DeathZone`), see
[here](documentation/definitionsOfObjects.md#rewards)
- The agent is now a ball rather than a cube
- Increased safety for spawning the agent to avoid infinite loops
- Bugs fixes
- v0.3 - Lights off, remove Beams and add cylinder
- We added the possibility to switch the lights off at given intervals, see
[here](documentation/configFile.md#blackouts)
- visualizeLightsOff.py displays an example of lights off, from the agent's point of view
- Beams objects have been removed
- A `Cylinder` object has been added (similar behaviour to the `Woodlog`)
- The immovable `Cylinder` tunnel has been renamed `CylinderTunnel`
- `UnityEnvironment.reset()` parameter `config` renamed to `arenas_configurations_input`
- v0.2 - New moving food rewards, improved Unity performance and bug fixes
- Moving rewards have been added, two for each type of reward, see
[the details here](documentation/definitionsOfObjects.md#rewards).
- Added details for the maze generator.
- Environment performance improved.
- [Issue #7](../../issues/7) (`-inf` rewards for `t: 0` configuration) is fixed.
- v0.1 - Initial Release
For earlier versions see [here](documentation/versions.md)
documentation/versions.md 0 → 100644
View file @ b8840937
# Previous versions details
- v1.1.1
- Hotfix curriculum loading in the wrong order
- v1.1.0
- Add curriculum learning to `animalai-train` to use yaml configurations
- v1.0.5
- ~~Adds customisable resolution during evaluation~~ (removed, evaluation is only `84x84`)
- Update `animalai-train` to tf 1.14 to fix `gin` broken dependency
- Release source code for the environment (no support to be provided on this for now)
- Fixes some legacy dependencies and typos in both libraries
- v1.0.3
- Adds inference mode to Gym environment
- Adds seed to Gym Environment
- Submission example folder containing a trained agent
- Provide submission details for the competition
- Documentation for training on AWS
- v1.0.2
- Adds custom resolution for docker training as well
- Fix version checker
- v1.0.0
- Adds custom resolution to both Unity and Gym environments
- Adds inference mode to the environment to visualize trained agents
- Prizes announced
- More details about the competition
- v0.6.1 (Environment only)
- Fix rare events of agent falling through the floor or objects flying in the air when resetting an arena
- v0.6.0
- Adds score in playmode (current and previous scores)
- Playmode now incorporates lights off directly (in `examples` try: `python visualizeArena.py configs/lightsOff.yaml`)
- To simplify the environment several unnecessary objects have been removed [see here](documentation/definitionsOfObjects.md)
- **Several object properties have been changed** [also here](documentation/definitionsOfObjects.md)
- Frames per action reduced from 5 to 3 (*i.e.*: for each action you send we repeat it for a certain number of frames
to ensure smooth physics)
- Add versions compatibility check between the environment and API
- Remove `step_number` argument from `animalai.environment.step`
- v0.5 Package `animalai`, gym compatible, dopamine example, bug fixes
- Separate environment API and training API in Python
- Release both as `animalai` and `animalai-train` PyPI packages (for `pip` installs)
- Agent speed in play-mode constant across various platforms
- Provide Gym environment
- Add `trainBaselines,py` to train using `dopamine` and the Gym wrapper
- Create the `agent.py` interface for agents submission
- Add the `HotZone` object (equivalent to the red zone but without death)
- v0.4 - Lights off moved to Unity, colors configurations, proportional goals, bugs fixes
- The light is now directly switched on/off within Unity, configuration files stay the same
- Blackouts now work with infinite episodes (`t=0`)
- The `rand_colors` configurations have been removed and the user can now pass `RGB` values, see
[here](documentation/configFile.md#objects)
- Rewards for goals are now proportional to their size (except for the `DeathZone`), see
[here](documentation/definitionsOfObjects.md#rewards)
- The agent is now a ball rather than a cube
- Increased safety for spawning the agent to avoid infinite loops
- Bugs fixes
- v0.3 - Lights off, remove Beams and add cylinder
- We added the possibility to switch the lights off at given intervals, see
[here](documentation/configFile.md#blackouts)
- visualizeLightsOff.py displays an example of lights off, from the agent's point of view
- Beams objects have been removed
- A `Cylinder` object has been added (similar behaviour to the `Woodlog`)
- The immovable `Cylinder` tunnel has been renamed `CylinderTunnel`
- `UnityEnvironment.reset()` parameter `config` renamed to `arenas_configurations_input`
- v0.2 - New moving food rewards, improved Unity performance and bug fixes
- Moving rewards have been added, two for each type of reward, see
[the details here](documentation/definitionsOfObjects.md#rewards).
- Added details for the maze generator.
- Environment performance improved.
- [Issue #7](../../issues/7) (`-inf` rewards for `t: 0` configuration) is fixed.
- v0.1 - Initial Release
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