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 c37cfac1 Adding the goal conditioning sensors with the new observation specs (#5159) 3 年前
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components POCA trainer (#5005) 3 年前
__init__.py [pytorch] Add decoders, distributions, encoders, layers, networks, and utils (#4349) 4 年前
action_flattener.py Action Model (#4580) 3 年前
action_log_probs.py Buffer key enums (#4907) 3 年前
action_model.py Develop hybrid action staging (#4702) 3 年前
agent_action.py Update v2-staging from main (March 15) (#5123) 3 年前
attention.py Silencing a Torch warning that raises when exporting the attention module to ONNX 3 年前
conditioning.py Goal conditioning integration (#5142) 3 年前
decoders.py Add torch_utils class, auto-detect CUDA availability (#4403) 4 年前
distributions.py V2 staging new model version (#5080) 3 年前
encoders.py Run pytest on GPU (#4865) 3 年前
layers.py add LayerNorm (#4847) 3 年前
model_serialization.py V2 staging new model version (#5080) 3 年前
networks.py Adding the goal conditioning sensors with the new observation specs (#5159) 3 年前
utils.py Update v2-staging from main (March 15) (#5123) 3 年前