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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Ervin Teng dc47efbe Import webfiles.zip for Tensorboard 5 年前
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bc Merge pull request #2421 from Unity-Technologies/hotfix-v0.9.1 5 年前
components Modification of reward signals and rl_trainer for SAC (#2433) 5 年前
ppo Enable learning rate decay to be disabled (#2567) 5 年前
sac Enable learning rate decay to be disabled (#2567) 5 年前
tests Develop remove academy done (#2519) 5 年前
__init__.py Add Soft Actor-Critic as trainer option (#2341) 5 年前
barracuda.py cleanup setup.cfg 5 年前
buffer.py Use numpy for random sample in buffer (#2524) 5 年前
curriculum.py Python code reformat via [`black`](https://github.com/ambv/black). 6 年前
demo_loader.py GAIL and Pretraining (#2118) 5 年前
exception.py Enable generalization training (#2232) 5 年前
learn.py Import webfiles.zip for Tensorboard 5 年前
meta_curriculum.py Python code reformat via [`black`](https://github.com/ambv/black). 6 年前
models.py Enable learning rate decay to be disabled (#2567) 5 年前
rl_trainer.py Fix crash in construct_curr_info when next_info doesn't have any agents (#2549) 5 年前
tensorflow_to_barracuda.py Barracuda hotfix for LSTM and tests (#2352) 5 年前
tf_policy.py Add Multi-GPU implementation for PPO (#2288) 5 年前
trainer.py Enable learning rate decay to be disabled (#2567) 5 年前
trainer_controller.py Renamed "StepInfo" to "EnvironmentStep" 5 年前
trainer_metrics.py Enable mypy in precommit checks (#2177) 6 年前
trainer_util.py Add Soft Actor-Critic as trainer option (#2341) 5 年前