ml-agents

5 提交

337 分支

128 Plastic标签

目录树: a3bf96fd

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.	7 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.

7 年前

1 次代码提交 (a3bf96fd-fc08-43dd-bef4-9868f9603355)