v2.0.0 release

• v2.0.0:
  • fix small bugs
  • adds tutorial notebooks
  • Bump ml-agents from 0.7 to 0.15 which:
    • allows multiple parallel environments for training
    • adds Soft actor critic (SAC) trainer
    • has a new kind of actions/observations loop (on demand decisions)
    • removes brains and some protobufs
    • adds side-channels to replace some protobufs
    • refactoring of the codebase
  • 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

v1.1.1 release

Hotfix for curriculum which was loading in the wrong order

v1.1.0 release

Add curriculum learning to animalai-train to use yaml configurations

v 1.0.5

• v1.0.5
  • Adds customisable resolution during evaluation
  • 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

v 1.0.3 - submission ready

• 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

Plus previous additions not tagged as release:

• 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 visualise trained agents
  • Prizes announced
  • More details about the competition

v0.6.0 release

• 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 release

• 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 release

0.4 - 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 release

We added the possibility to switch the lights off at given intervals
- 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