ml-agents

1 提交

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目录树: a9ca4a7d

作者	SHA1	备注	提交日期
GitHub	c17937ef	Curiosity Driven Exploration & Pyramids Environments (#739 ) * Adds implementation of Curiosity-driven Exploration by Self-supervised Prediction (https://arxiv.org/abs/1705.05363) to PPO trainer. * To enable, set use_curiosity flag to true in hyperparameter file. * Includes refactor of unitytrainers model code to accommodate new feature. * Adds new Pyramids environment (w/ documentation). Environment contains sparse reward, and can only be solved using PPO+Curiosity.	6 年前

作者

SHA1

备注

提交日期

GitHub

c17937ef

Curiosity Driven Exploration & Pyramids Environments (#739 )

* Adds implementation of Curiosity-driven Exploration by Self-supervised Prediction (https://arxiv.org/abs/1705.05363) to PPO trainer.
* To enable, set use_curiosity flag to true in hyperparameter file.
* Includes refactor of unitytrainers model code to accommodate new feature.
* Adds new Pyramids environment (w/ documentation). Environment contains sparse reward, and can only be solved using PPO+Curiosity.

6 年前

1 次代码提交 (a9ca4a7d-2553-4ffb-84e0-190e8bd7c169)