![]() How Eidos-Montréal created Grid Sensors to improve observations for training agents Happy holidays from the Unity ML-Agents team! ML-Agents v2.0 release: Now supports training complex cooperative behaviors We have also published a series of blog posts that are relevant for ML-Agents: On how to implement and use the ML-Agents Toolkit. That provides a gentle introduction to Unity and the ML-Agents Toolkit. If you use Unity or the ML-Agents Toolkit to conduct research, we ask that youĬite the following paper as a the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning},Īuthor=, Reference paper on Unity and the ML-Agents Toolkit. If you are a researcher interested in a discussion of Unity as an AI platform, Verified packages releases are numbered 1.0.x.
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