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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_1.3.0
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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
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v0.1
6 次代码提交 (a044e75b-cd51-4318-9769-07536d9737ef)
作者 | SHA1 | 备注 | 提交日期 |
---|---|---|---|
Alexander Scheurer | 0d82c458 | Cleaned up the 3DBall example scene | 7 年前 |
Arthur Juliani | 51f23cd2 |
0.2 Update
* added broadcast to the player and heuristic brain. Allows the python API to record actions taken along with the states and rewards * removed the broadcast checkbox Added a Handshake method for the communicator The academy will try to handshake regardless of the brains present Player and Heuristic brains will send their information through the communicator but will not receive commands * bug fix : The environment only requests actions from external brains when unique * added warning in case no brins are set to external * fix on the instanciation of coreBrains, fix on the conversion of actions to arrays in the BrainInfo received from step * default discrete action is now 0 bug fix for discrete broadcast action (the action size should be one in Agents.cs) modified Tennis so that the default action is no action modified the TemplateDecsion.cs to ensure non null values are sent from Decide() and MakeMemory() * minor fixes * need to convert the s... |
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 |
GitHub | d7224351 |
Brains as Scriptable Objects (#1250)
* Initial Commit Ported most functionalities, still need to : - Documentation - Add Comments - Custom drawer for BrainParameters - Fix the UnitTests - Review Functionalities * Added Custom Drawer for the Brain Parameters * Improvements to the HubDrawer * Modified the Brain Editors * Minor bug fixes and UI changes * Modified the Help Boxes of the Drawers * Modified Brain class, renamed Initialize and made DecideAction virtual * Fix the UnityTests * Simpler Brain creation menu * Renamed Internal Brain to Learning Brain * modified the parameters to remove reference to External or Internal in the Protobuf objects * Updated the protobuf generated files * Fix the Pytests * Removed the graph scope from the Learning Brain * cleaner logic than try catch * Removed the isExternal field of the brain and put the isTraining logic into LearningBrain and Training Hub * Modified how the Brain finds the A... |
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 |