目录树:
6526ac1d
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/develop-generalizationTraining-TrainerController
/tag-0.2.0
/tag-0.2.1
/tag-0.2.1a
/tag-0.2.1c
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/PhysXArticulations20201
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/hh-develop-walljump_bugfixes
/develop-walljump-fix-sac
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/develop-pytorch
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/tag-0.12.1
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/tag-0.12.1.dev1
/release-0.13.0
/release-0.13.1
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/release-0.14.0
/hotfix-bump-version-master
/soccer-fives
/release-0.14.1
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/test-recurrent-gail
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/release-0.15.0
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/distributed-training
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/whitepaper-experiments
/r2v-yamato-linux
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/origin-develop-taggedobservations
/MLA-1734-demo-provider
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/PhysXArticulations20201Package
/tag-com.unity.ml-agents_1.0.8
/release_3_branch
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/goal-conditioning/new
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0.1.1
0.1.2
0.10.0
0.10.1
0.11.0
0.11.0.dev0
0.11.0.dev1
0.11.0.dev2
0.11.0.dev3
0.12.0
0.12.0-dev
0.12.0.dev0
0.12.1
0.12.1.dev0
0.12.1.dev1
0.13.0
0.13.1
0.14.0
0.14.1
0.15.0
0.15.1
0.2.0
0.2.1
0.2.1a
0.2.1b
0.2.1c
0.2.1d
0.3.0
0.3.0a
0.3.0b
0.3.1
0.3.1a
0.3.1b
0.4.0
0.4.0a
0.4.0b
0.5.0
0.5.0a
0.6.0
0.6.0a
0.7.0
0.8.0
0.8.1
0.8.2
0.9.0
0.9.1
0.9.2
0.9.3
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
com.unity.ml-agents_1.0.6
com.unity.ml-agents_1.0.7
com.unity.ml-agents_1.0.8
com.unity.ml-agents_1.1.0
com.unity.ml-agents_1.2.0
com.unity.ml-agents_1.3.0
com.unity.ml-agents_1.4.0
com.unity.ml-agents_1.5.0
com.unity.ml-agents_1.6.0
com.unity.ml-agents_1.7.0
com.unity.ml-agents_1.7.2
com.unity.ml-agents_1.8.0
com.unity.ml-agents_1.8.1
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
latest_release
python-packages_0.16.0
python-packages_0.16.1
python-packages_0.17.0
python-packages_0.18.0
python-packages_0.18.1
python-packages_0.19.0
python-packages_0.20.0
python-packages_0.21.0
python-packages_0.21.1
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python-packages_0.23.0
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python-packages_0.24.1
python-packages_0.25.0
python-packages_0.25.1
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python-packages_0.27.0
release_1
release_10
release_10_docs
release_11
release_11_docs
release_12
release_12_docs
release_13
release_13_docs
release_14
release_14_docs
release_15
release_15_docs
release_16
release_16_docs
release_17
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release_18
release_18_docs
release_1_docs
release_2
release_2_docs
release_2_verified_docs
release_3
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release_4
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release_5
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release_6
release_6_docs
release_7
release_7_docs
release_8
release_8_docs
release_8_test0
release_8_test1
release_9
release_9_docs
v0.1
4 次代码提交 (6526ac1d-a9a8-4726-acb3-27d8ab9334a4)
| 作者 | SHA1 | 备注 | 提交日期 |
|---|---|---|---|
GitHub
|
9ca530cd |
Soccer Twos Environment (#420)
* Add Soccer Twos environment, along with training parameters, embedded model, and relevant documentation. |
7 年前 |
|
GitHub
|
976c56c5 |
Environment Aesthetic Unification (#459)
* Aesthetic unification * Add new environment images |
7 年前 |
|
GitHub
|
c1e930b5 |
Minor Visual Changes for Environments (#470)
* Minor changes to ensure a common visual language.
* Agents are blue (or additionally red in competitive scenarios).
* Interactable objects are orange.
* Goals are green when objects, and checkerboards when places.
* Not everything perfectly follows this, but things are mostly consistent now.
* Renamed "Banana" folder to "BananaCollectors"
* Ensured all brains were set to "Player"
* Moved non-shared assets out of the "SharedAssets" folder.
|
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 |