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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
GitHub b6e3fd67 [tests] Add additional unit tests (#3581) 5 年前
..
components Merge pull request #3560 from Unity-Technologies/new-logger 5 年前
ghost Merge pull request #3560 from Unity-Technologies/new-logger 5 年前
optimizer [change] Organize trainer files a bit better (#3538) 5 年前
policy Merge pull request #3560 from Unity-Technologies/new-logger 5 年前
ppo Merge pull request #3560 from Unity-Technologies/new-logger 5 年前
sac Merge pull request #3560 from Unity-Technologies/new-logger 5 年前
tests [tests] Add additional unit tests (#3581) 5 年前
trainer Merge pull request #3560 from Unity-Technologies/new-logger 5 年前
__init__.py set package and API to 0.15.0-dev0 (#3369) 5 年前
action_info.py Move advance() logic for environment manager out of trainer_controller (#3234) 5 年前
agent_processor.py [change] Organize trainer files a bit better (#3538) 5 年前
barracuda.py fix errors from new flake8-comprehensions (#2917) 5 年前
behavior_id_utils.py Self-play for symmetric games (#3194) 5 年前
brain.py removed extraneous logging imports and loggers 5 年前
brain_conversion_utils.py Move advance() logic for environment manager out of trainer_controller (#3234) 5 年前
buffer.py Fix clear update buffer when trainer stops training, add test (#3422) 5 年前
curriculum.py Allow curricula to be created without files (#3145) 5 年前
demo_loader.py removed extraneous logging imports and loggers 5 年前
distributions.py [change] Separate action outputs into OutputDistributions object (#3514) 5 年前
env_manager.py [change] Organize trainer files a bit better (#3538) 5 年前
exception.py Combined model and policy for PPO 5 年前
learn.py uniformize log level for all loggers 5 年前
meta_curriculum.py Add 'run-experiment' script, simpler curriculum config (#3186) 5 年前
models.py removed extraneous logging imports and loggers 5 年前
run_experiment.py Add 'run-experiment' script, simpler curriculum config (#3186) 5 年前
sampler_class.py Moving Env Manager to Trainers (#3062) The Env Manager is only used by the trainer codebase. The entry point to interact with an environment is UnityEnvironment. 5 年前
simple_env_manager.py Move advance() logic for environment manager out of trainer_controller (#3234) 5 年前
stats.py Make the timer output format consistent (#3472) 5 年前
subprocess_env_manager.py Move advance() logic for environment manager out of trainer_controller (#3234) 5 年前
tensorflow_to_barracuda.py backport tf2bc changes from barracuda-release (#3341) 5 年前
trainer_controller.py Make the timer output format consistent (#3472) 5 年前
trainer_util.py Temporarily remove multi-GPU 5 年前
trajectory.py Replace BrainInfos with BatchedStepResult (#3207) 5 年前