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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GitHub ad5f878c [refactor] Remove critic pass during inference (#4743) 4 年前
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components Develop hybrid action staging (#4702) 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 Action Model (#4580) 4 年前
action_model.py Develop hybrid action staging (#4702) 4 年前
agent_action.py Merge master into hybrid actions staging branch (#4704) 4 年前
decoders.py Add torch_utils class, auto-detect CUDA availability (#4403) 4 年前
distributions.py Develop hybrid action staging (#4702) 4 年前
encoders.py Merge master into hybrid actions staging branch (#4704) 4 年前
layers.py Merge master into hybrid actions staging branch (#4704) 4 年前
model_serialization.py C# changes for hybrid action spaces (#4587) 4 年前
networks.py [refactor] Remove critic pass during inference (#4743) 4 年前
utils.py Action Model (#4580) 4 年前