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0.1.1
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0.10.0
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0.11.0.dev0
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0.12.1
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0.2.1
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0.3.0
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0.3.1
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0.8.0
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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
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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
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release_1
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v0.1
4 次代码提交 (6ad7f010-6547-4e8d-975e-8eacdc2d2952)
| 作者 | SHA1 | 备注 | 提交日期 |
|---|---|---|---|
GitHub
|
51621334 |
State Stacking & Banan Environment (#262)
* Add support for stacking past n states to allow network to learn temporal dependencies. * Add Banana Collector environment for demonstrating partially observable multi-agent environments. * Add 3DBall Hard which lacks velocity information in state representation. Used as test for LSTM and state-stacking features. * Rework Tennis environment to be continuous control and trainable in 100k steps. |
7 年前 |
|
GitHub
|
f8a8b112 | Move epsilon generation into graph (#283) | 7 年前 |
|
GitHub
|
8317a659 |
Behavioral Cloning & Trainers Reorg (#328)
* Implement behavioral cloning for cc/dc, fc/rnn, state/observations. * Re-organize folder structure in anticipation of unitytrainers as a package. * Create demo environment BananaImitation to validate behavioral cloning. * Fixes #336 |
7 年前 |
|
GitHub
|
f134016b |
On Demand Decision (#308)
* On Demand Decision : Use RequestDecision and RequestAction * New Agent Inspector : Use it to set On Demand Decision * New BrainParameters interface * LSTM memory size is now set in python * New C# API * Semantic Changes * Replaced RunMDP * New Bouncer Environment to test On Demand Dscision |
7 年前 |