ml-agents

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。

文件历史

Jonathan Harper e91e847c Fix '--slow' flag after environment updates A change was made to the way the "train_mode" flag was used by environments when SubprocessUnityEnvironment was added which was intended to be part of a separate change set. This broke the CLI '--slow' flag. This change undoes those changes, so that the slow / fast simulation option works correctly. As a minor additional change, the remaining tests from top level 'tests' folders have been moved into the new test folders.		6 年前
..
BasicLearning.pb	Modified the Basic Environment (#1347)	6 年前
__init__.py	Fixed imports, all tests are passing.	6 年前
test.demo	Demonstration Recorder (#1240)	6 年前
test_barracuda_converter.py	Barracuda integration into ML-Agents (#1557)	6 年前
test_bc.py	Split `mlagents` into two packages (#1812)	6 年前
test_buffer.py	Refactor Trainers to use Policy (#1098)	6 年前
test_curriculum.py	Curriculum learning reward thresholding bug fix (#1141)	6 年前
test_demo_loader.py	made the pytest directory agnostic	6 年前
test_learn.py	Fix '--slow' flag after environment updates	6 年前
test_meta_curriculum.py	Demonstration Recorder (#1240)	6 年前
test_policy.py	Move 'take_action' into Policy class (#1669)	6 年前
test_ppo.py	Split `mlagents` into two packages (#1812)	6 年前
test_trainer_controller.py	Fix '--slow' flag after environment updates	6 年前
test_trainer_metrics.py	Reorganize to make metrics collection more accurate	6 年前