ml-agents

1 提交

337 分支

128 Plastic标签

目录树: 799cdce7

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
GitHub	7eebb5f6	Fixes for broken materials (#855 ) * Fix materials for wall and checker * Make the ball orange again	6 年前
GitHub	bebdb293	ML-Agents Branding & Color Updates (#2583 ) * new env styles rebased on develop * added new trained models * renamed food collector platforms * reduce training timescale on WallJump from 100 to 10 * uncheck academy control on walljump * new banner image * rename banner file * new example env images * add foodCollector image * change Banana to FoodCollector and update image * change bouncer description to include green cube * update image * update gridworld image * cleanup prefab names and tags * updated soccer env to reference purple agent instead of red * remove unused mats * rename files * remove more unused tags * update image * change platform to agent cube * update text. change platform to agents head * cleanup * cleaned up weird unused meta files * add new wall jump nn files and rename a prefab * walker change stacked states from 5 to 1 walker collects physics observations so stacked states are not need...	5 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

GitHub

7eebb5f6

Fixes for broken materials (#855 )

* Fix materials for wall and checker
* Make the ball orange again

6 年前

GitHub

bebdb293

ML-Agents Branding & Color Updates (#2583 )

* new env styles rebased on develop

* added new trained models

* renamed food collector platforms

* reduce training timescale on WallJump from 100 to 10

* uncheck academy control on walljump

* new banner image

* rename banner file

* new example env images

* add foodCollector image

* change Banana to FoodCollector and update image

* change bouncer description to include green cube

* update image

* update gridworld image

* cleanup prefab names and tags

* updated soccer env to reference purple agent instead of red

* remove unused mats

* rename files

* remove more unused tags

* update image

* change platform to agent cube

* update text. change platform to agents head

* cleanup

* cleaned up weird unused meta files

* add new wall jump nn files and rename a prefab

* walker change stacked states from 5 to 1

walker collects physics observations so stacked states are not need...

5 年前

3 次代码提交 (799cdce7-adfa-4dd7-a2ac-3079fa872847)