@@ -29,6 +29,7 @@ developer communities.
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- Support for training single-agent, multi-agent cooperative, and multi-agent
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competitive scenarios via several Deep Reinforcement Learning algorithms (PPO, SAC, MA-POCA, self-play).
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- Support for learning from demonstrations through two Imitation Learning algorithms (BC and GAIL).
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+ - Quickly and easily add your own [ custom training algorithm] ( Python-Custom-Trainer-Plugin.md ) and/or components.
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- Easily definable Curriculum Learning scenarios for complex tasks
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- Train robust agents using environment randomization
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- Flexible agent control with On Demand Decision Making
@@ -40,13 +41,15 @@ developer communities.
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- Wrap Unity learning environments as a [ PettingZoo] ( Python-PettingZoo-API.md ) environment
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See our [ ML-Agents Overview] ( ML-Agents-Overview.md ) page for detailed
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- descriptions of all these features.
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+ descriptions of all these features. Or go straight to our [ web docs ] ( https://unity-technologies.github.io/ml-agents/ ) .
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## Releases & Documentation
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** Our latest, stable release is ` Release 20 ` . Click
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- [ here] ( https://github.com/Unity-Technologies/ml-agents/tree/release_20_docs/docs/Readme .md)
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+ [ here] ( Getting-Started .md)
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to get started with the latest release of ML-Agents.**
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+ ** You can also check out our new [ web docs] ( https://unity-technologies.github.io/ml-agents/ ) !**
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+
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The table below lists all our releases, including our ` main ` branch which is
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under active development and may be unstable. A few helpful guidelines:
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- The [ Versioning page] ( Versioning.md ) overviews how we manage our GitHub
@@ -159,9 +162,8 @@ We have also published a series of blog posts that are relevant for ML-Agents:
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### More from Unity
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- - [ Unity Simulation Pro] ( https://unity.com/products/unity-simulation-pro )
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- [ Unity Robotics] ( https://github.com/Unity-Technologies/Unity-Robotics-Hub )
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- - [ Unity Computer Vision] ( https://unity .com/computer-vision )
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+ - [ Unity Computer Vision] ( https://github .com/Unity-Technologies/com.unity.perception )
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## Community and Feedback
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