ml-agents

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目录树: 2acfc2ac

作者	SHA1	备注	提交日期
Arthur Juliani	982fab41	Initial commit	7 年前
GitHub	51621334	State Stacking & Banan Environment (#262 ) * Add support for stacking past n states to allow network to learn temporal dependencies. * Add Banana Collector environment for demonstrating partially observable multi-agent environments. * Add 3DBall Hard which lacks velocity information in state representation. Used as test for LSTM and state-stacking features. * Rework Tennis environment to be continuous control and trainable in 100k steps.	7 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

Arthur Juliani

982fab41

Initial commit

7 年前

GitHub

51621334

State Stacking & Banan Environment (#262 )

* Add support for stacking past n states to allow network to learn temporal dependencies.
* Add Banana Collector environment for demonstrating partially observable multi-agent environments.
* Add 3DBall Hard which lacks velocity information in state representation. Used as test for LSTM and state-stacking features.
* Rework Tennis environment to be continuous control and trainable in 100k steps.

7 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 (2acfc2ac-1040-4312-b827-ef7e09c0d1ce)