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com.unity.ml-agents_1.0.0
com.unity.ml-agents_1.0.2
com.unity.ml-agents_1.0.3
com.unity.ml-agents_1.0.4
com.unity.ml-agents_1.0.5
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com.unity.ml-agents_1.0.8
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com.unity.ml-agents_1.3.0
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com.unity.ml-agents_1.7.2
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com.unity.ml-agents_1.9.0
com.unity.ml-agents_1.9.1
com.unity.ml-agents_2.0.0
com.unity.ml-agents_2.1.0
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python-packages_0.16.0
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v0.1
5 次代码提交 (41c9334a-b1e3-4bc0-8535-2078a8ff2547)
| 作者 | SHA1 | 备注 | 提交日期 |
|---|---|---|---|
GitHub
|
f86fc81d | [refactor] Move configuration files to single YAML file (#3791) | 5 年前 |
|
GitHub
|
e92b4f88 | [refactor] Structure configuration files into classes (#3936) | 5 年前 |
|
GitHub
|
a1c63c4b |
Release 3 Cherry-pick bug-fixes and doc changes from master (#4102)
* [bug-fix] Fix regression in --initialize-from feature (#4086) * Fixed text in GettingStarted page specifying the logdir for tensorboard. Before it was in a directory summaries which no longer existed. Results are now saved to the results dir. (#4085) * [refactor] Remove nonfunctional `output_path` option from TrainerSettings (#4087) * Reverting bug introduced in #4071 (#4101) Co-authored-by: Scott <Scott.m.jordan91@gmail.com> Co-authored-by: Vincent-Pierre BERGES <vincentpierre@unity3d.com> |
5 年前 |
|
GitHub
|
8a49e8e0 | [refactor] Remove nonfunctional `output_path` option from TrainerSettings (#4087) | 5 年前 |
|
GitHub
|
cc10cd82 |
Worm Ragdoll & Env Updates (#4413)
* add worm updates * add rewman * cp * normalize rewards * only cookie * try 20M. Add3.5Mnn file * reduce strength to 3000spring * facing reward troubleshooting * Update WormAgent.cs * troubleshoot nan * try product of rewards * train 5M steps * try end episode on target touch * fix joint obsv * use 7M steps * added nn file for observation joint fix. looks great * don't end episode * remove old code * refactor to patterns used in walker & crawler * add auto-setup code * reformat * use head vel * remove unneeded observ. update prefabs * update static scenes * keeps rolling. added debug. try 5 m/s * gate the facing reward based on angle tolerance * added 10ms_angle30rew_nn files * use fromto rot * use 7M steps * add new trained files. cleanup code and prefabs * use avgvel. add code comments * remove unused method * add more comments * Update Learning-E... |
4 年前 |