ML-Agents Beta 0.1.2

Features & Additions

Unity

• Added Basic Environment for testing discrete state environments

Python

• Reconfigured PPO model generation to support:
  • Discrete control w/ discrete-state input
  • Continuous Control w/ visual and discrete-state input
  • Combined visual/state inputs for CC and DC
  • Color (3-channel) observations

General

• Added pre-configured AWS AMI for cloud-training
• Move wiki to docs directory for better community collaboration

Bug Fixes

Unity

• Provides message for state size mismatch
• Defaults to continuous state space for new brains

ML-Agents Beta 0.1.1

Fixes

• UnityEnvironment no longer uses OS-specific signal.alarm to timeout connection with Unity. (#9)

Changes

• PPO now allows for saving more than the most 5 recent model checkpoints. (#16)

ML-Agents Beta 0.1

Unity Machine Learning Agents allows researchers and developers to create games and simulations using the Unity Editor into environments where intelligent agents can be trained using reinforcement learning, evolutionary strategies, or other machine learning methods through a simple to use Python API.