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versions.md

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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
    • Several object properties have been changed also here
    • 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
    • Rewards for goals are now proportional to their size (except for the DeathZone), see here
    • 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
    • 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.
    • Added details for the maze generator.
    • Environment performance improved.
    • Issue #7 (-inf rewards for t: 0 configuration) is fixed.

  • v0.1 - Initial Release