unity-tech-cn
/
ml-agents
45
14
派生 39
代码 合并请求 版本发布
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。
您最多选择25个主题 主题必须以中文或者字母或数字开头，可以包含连字符 (-)，并且长度不得超过35个字符
11 提交
337 分支
128 Plastic标签
 
 
 
 
 
目录树: 7ae32cc2
分支列表 标签列表
${ item.name }
创建分支 ${ searchTerm }
从 '7ae32cc2'
${ noResults }
ml-agents/ml-agents/mlagents/trainers
Anupam Bhatnagar 7ae32cc2 [skip ci] replace buffer length by buffer size 5 年前
..
components Fix how we set logging levels (#3703) 5 年前
ghost Fix save snapshot bug in ghost trainer (#3722) 5 年前
optimizer [skip ci] minor formatting change 5 年前
policy [skip-ci] small refactors 5 年前
ppo [skip ci] replace buffer length by buffer size 5 年前
sac Asymmetric self-play (#3653) 5 年前
tests [feature] Add --initialize-from option (#3710) 5 年前
trainer branch rebased 5 年前
__init__.py Bumping versions on master (#3614) 5 年前
action_info.py Move advance() logic for environment manager out of trainer_controller (#3234) 5 年前
agent_processor.py Stats SideChannel (for custom TensorBoard metrics) (#3660) 5 年前
barracuda.py fix errors from new flake8-comprehensions (#2917) 5 年前
behavior_id_utils.py Asymmetric self-play (#3653) 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 Hotfixes for Release 0.15.1 (#3698) 5 年前
demo_loader.py record demos 1d env 5 年前
distributions.py Hotfixes for Release 0.15.1 (#3698) 5 年前
env_manager.py Fix how we set logging levels (#3703) 5 年前
exception.py Combined model and policy for PPO 5 年前
learn.py activate environment from executable 5 年前
meta_curriculum.py Hotfixes for Release 0.15.1 (#3698) 5 年前
models.py [change] Remove concatenate in discrete action probabilities to improve inference performance (#3598) 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 Stats SideChannel (for custom TensorBoard metrics) (#3660) 5 年前
stats.py Asymmetric self-play (#3653) 5 年前
subprocess_env_manager.py Fix how we set logging levels (#3703) 5 年前
tensorflow_to_barracuda.py backport tf2bc changes from barracuda-release (#3341) 5 年前
trainer_controller.py Merge branch 'master' into distributed-training 5 年前
trainer_util.py [feature] Add --initialize-from option (#3710) 5 年前
trajectory.py Replace BrainInfos with BatchedStepResult (#3207) 5 年前