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View Code? Open in Web Editor NEWMoss is a Python library for Reinforcement Learning.
License: MIT License
Moss is a Python library for Reinforcement Learning.
License: MIT License
Fix fake behavior_values
in PPOLearner._loss
to supports value clip operation.
Fix data format for image feature to supports NHWC
and NCHW
.
Add experiment api to make moss more easy to run.
Supplement and improve the doc annotations in Moss.
Refactor input feature and output action networks to make them composable.
Rename VectorActor
to make it more suitable for its function.
Add gradient clip trick.
Trick following this blog https://zhuanlan.zhihu.com/p/512327050 (Trick 7).
Add ResizeObservation
wrapper for pettingzoo, and add two arguments height
and width
for PettingZooEnv to set shape of image observation.
Update version to 0.0.3
Supports sampling data async in venv(now just for envpool).
Refactor the Moss environment to make it more generic, allowing it to support more environment standards such as gym and pettingzoo.
ScaleFeature
and OneHotFeature
.Release a new version 0.0.5
Refactor Network to make it more flexible and simpler to custom and compose.
Add vizdoom example(use envpool).
Add Python version img.
Add atari render utils for local test.
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