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ml-agents
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Unity 机器学习代理工具包 (ML-Agents) 是一个开源项目，它使游戏和模拟能够作为训练智能代理的环境。
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ml-agents/ml-agents/mlagents/trainers/torch
GitHub dffc37bf Update to barracuda 1.3.3 and changes to the model inputs and outputs for LSTM (#5236) 4 年前
..
components POCA trainer (#5005) 4 年前
__init__.py [pytorch] Add decoders, distributions, encoders, layers, networks, and utils (#4349) 4 年前
action_flattener.py Action Model (#4580) 4 年前
action_log_probs.py Buffer key enums (#4907) 4 年前
action_model.py Develop hybrid action staging (#4702) 4 年前
agent_action.py Update v2-staging from main (March 15) (#5123) 4 年前
attention.py Silencing a Torch warning that raises when exporting the attention module to ONNX 4 年前
conditioning.py Goal conditioning integration (#5142) 4 年前
decoders.py Add torch_utils class, auto-detect CUDA availability (#4403) 4 年前
distributions.py V2 staging new model version (#5080) 4 年前
encoders.py [perf] Optimizations for performance (#5192) 4 年前
layers.py Update to barracuda 1.3.3 and changes to the model inputs and outputs for LSTM (#5236) 4 年前
model_serialization.py Turning some logger.info into logger.debug and remove some logging overhead when not using debug (#5211) 4 年前
networks.py Update to barracuda 1.3.3 and changes to the model inputs and outputs for LSTM (#5236) 4 年前
utils.py Update v2-staging from main (March 15) (#5123) 4 年前