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c3b15492
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0.1.1
0.1.2
0.10.0
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0.11.0
0.11.0.dev0
0.11.0.dev1
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0.12.1
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0.2.1
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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
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
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python-packages_0.18.0
python-packages_0.18.1
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release_1
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v0.1
2 次代码提交 (c3b15492-1321-444f-9913-a6836c437c4c)
| 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. |
7 年前 |
|
GitHub
|
39f1f310 | Don't inherit from Academy, remove virtual methods (#3184) | 5 年前 |