ml-agents

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目录树: ab99343a

作者	SHA1	备注	提交日期
Arthur Juliani	982fab41	Initial commit	7 年前
GitHub	6c354d16	New Learning Brain (#1303 ) * Initial Commit * attempt at refactor * Put all static methods into the CoreInternalBrain * improvements * more testing * modifications * renamed epsilon * misc * Now supports discrete actions * added discrete support and RNN and visual. Left to do is refactor and save variables into models * code cleaning * made a tensor generator and applier * fix on the models.py file * Moved the Checks to a different Class * Added some unit tests * BugFix * Need to generate the output tensors as well as inputs before executing the graph * Made NodeNames static and created a new namespace * Added comments to the TensorAppliers * Started adding comments on the TensorGenerators code * Added comments for the Tensor Generator * Moving the helper classes into a separate folder * Added initial comments to the TensorChecks * Renamed NodeNames -> TensorNames * Removing warnings in tests * Now using Aut...	6 年前
GitHub	99146e97	1 to 1 Brain to Agent (#2729 ) * 1 to 1 Brain to Agent This is a work in progess In this PR : - Deleted all Brain Objects - Moved the BrainParameters into the Agent - Gave the Agent a Heuristic method (see Balance Ball for example) - Modified the Communicator and ModelRunner : Put can only take one agent at a time - Made the IBrain Interface with RequestDecision and DecideAction method No changes made to Python [Design Doc](https://docs.google.com/document/d/1hBhBxZ9lepGF4H6fc6Hu6AW7UwOmnyX3trmgI3HpOmo/edit#) * Removing editorconfig * Updating BallanceBall scene * grammar mistake * Clearing the Agents of the Model runner * Added Documentation on IBrain * Modified comments on GiveModel * Introduced a factory * Split Learning Brain in two * Changes to walljump * Fixing the Unit tests * Renaming the Brain to Policy * Heuristic now has priority over training * Edited code comments * Fixing bugs * Develop one to one scene edits...	5 年前

作者

SHA1

备注

提交日期

Arthur Juliani

982fab41

Initial commit

7 年前

GitHub

6c354d16

New Learning Brain (#1303 )

* Initial Commit

* attempt at refactor

* Put all static methods into the CoreInternalBrain

* improvements

* more testing

* modifications

* renamed epsilon

* misc

* Now supports discrete actions

* added discrete support and RNN and visual. Left to do is refactor and save variables into models

* code cleaning

* made a tensor generator and applier

* fix on the models.py file

* Moved the Checks to a different Class

* Added some unit tests

* BugFix

* Need to generate the output tensors as well as inputs before executing the graph

* Made NodeNames static and created a new namespace

* Added comments to the TensorAppliers

* Started adding comments on the TensorGenerators code

* Added comments for the Tensor Generator

* Moving the helper classes into a separate folder

* Added initial comments to the TensorChecks

* Renamed NodeNames -> TensorNames

* Removing warnings in tests

* Now using Aut...

6 年前

GitHub

99146e97

1 to 1 Brain to Agent (#2729 )

* 1 to 1 Brain to Agent
This is a work in progess
In this PR :
 - Deleted all Brain Objects
 - Moved the BrainParameters into the Agent
 - Gave the Agent a Heuristic method (see Balance Ball for example)
 - Modified the Communicator and ModelRunner : Put can only take one agent at a time
 - Made the IBrain Interface with RequestDecision and DecideAction method

No changes made to Python
[Design Doc](https://docs.google.com/document/d/1hBhBxZ9lepGF4H6fc6Hu6AW7UwOmnyX3trmgI3HpOmo/edit#)

* Removing editorconfig

* Updating BallanceBall scene

* grammar mistake

* Clearing the Agents of the Model runner

* Added Documentation on IBrain

* Modified comments on GiveModel

* Introduced a factory

* Split Learning Brain in two

* Changes to walljump

* Fixing the Unit tests

* Renaming the Brain to Policy

* Heuristic now has priority over training

* Edited code comments

* Fixing bugs

* Develop one to one scene edits...

5 年前

3 次代码提交 (ab99343a-0c04-4426-b292-065dc6e078fc)