rl_games

• Added ONNX export colab example for discrete and continuous action spaces. For continuous case LSTM policy example is provided as well.
• Improved RNNs training in continuous space, added option zero_rnn_on_done.
• Added NVIDIA CuLE support: https://github.com/NVlabs/cule
• Added player config override. Vecenv is used for inference.
• Fixed multi-gpu training with central value.
• Fixed max_frames termination condition, and it's interaction with the linear learning rate: https://github.com/Denys88/rl_games/issues/212
• Fixed "deterministic" misspelling issue.
• Fixed Mujoco and Brax SAC configs.
• Fixed multiagent envs statistics reporting. Fixed Starcraft2 SMAC environments.

Full Changelog: https://github.com/Denys88/rl_games/compare/v1.5.2...v1.6.0