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com.unity.ml-agents_1.0.0
com.unity.ml-agents_1.0.2
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com.unity.ml-agents_1.9.1
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v0.1
5 次代码提交 (eb90772f-4aea-48f5-a82d-2d3a0d2fde92)
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 | 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 |
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 |
Vincent(Yuan) Gao | e8a226a0 | Added 3DBall, Banana, Basic, Walker, Hallway and PushBlock (#1312) | 6 年前 |
Vincent-Pierre BERGES | 4a6ae4e0 |
Barracuda integration into ML-Agents (#1557)
* Switched default Mac GFX API to Metal * Added Barracuda pre-0.1.5 * Added basic integration with Barracuda Inference Engine * Use predefined outputs the same way as for TF engine * Fixed discrete action + LSTM support * Switch Unity Mac Editor to Metal GFX API * Fixed null model handling * All examples converted to support Barracuda * Added model conversion from Tensorflow to Barracuda copied the barracuda.py file to ml-agents/mlagents/trainers copied the tensorflow_to_barracuda.py file to ml-agents/mlagents/trainers modified the tensorflow_to_barracuda.py file so it could be called from mlagents modified ml-agents/mlagents/trainers/policy.py to convert the tf models to barracuda compatible .bytes file * Added missing iOS BLAS plugin * Added forgotten prefab changes * Removed GLCore GFX backend for Mac, because it doesn't support Compute shaders * Exposed GPU support for LearningBrain inference ... |
6 年前 |