ml-agents

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337 分支

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目录树: 1656d290

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 (1656d290-0b16-41d8-9df4-5c4a7efaa411)