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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_1.7.0
com.unity.ml-agents_1.7.2
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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
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v0.1
2 次代码提交 (b7232ccc-18c1-4fd1-a9b6-89f6589e41f8)
| 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 |