- [PPO2] Huge loss spikes: sensitivity to action space and exploration? https://ray.readthedocs.io/en/latest/rllib-algorithms.html#proximal-policy-optimization-ppo 5 comments reinforcementlearning
Linking pages
- Scaling Multi-Agent Reinforcement Learning – The Berkeley Artificial Intelligence Research Blog https://bair.berkeley.edu/blog/2018/12/12/rllib/ 2 comments
- An Open Source Tool for Scaling Multi-Agent Reinforcement Learning - RISE Lab https://rise.cs.berkeley.edu/blog/scaling-multi-agent-rl-with-rllib/ 1 comment
- Functional RL with Keras and Tensorflow Eager – The Berkeley Artificial Intelligence Research Blog https://bair.berkeley.edu/blog/2019/10/14/functional-rl/ 0 comments
- Functional RL with Keras and Tensorflow Eager | by Eric Liang | riselab | Medium https://medium.com/riselab/functional-rl-with-keras-and-tensorflow-eager-7973f81d6345 0 comments
- GitHub - oxwhirl/smac: SMAC: The StarCraft Multi-Agent Challenge https://github.com/oxwhirl/smac 0 comments
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