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0.7.0
0.8.0
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0.9.0
0.9.1
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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
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v0.1
11 次代码提交 (f82f0f37-1ffb-472e-a34d-6ca6a96b7ba3)
作者 | SHA1 | 备注 | 提交日期 |
---|---|---|---|
GitHub | fbf92810 | Refactor Trainers to use Policy (#1098) | 6 年前 |
GitHub | 10d2a19d | Release v0.5 (Develop) (#1203) | 6 年前 |
GitHub | ab5c49e8 |
Release v0.5 delete unityagents (#1151)
* fixed the loggers * Modified the documentation |
6 年前 |
GitHub | d2c320dd |
Remove graph scope (#1205)
* initial commit : Only works with PPO balance ball * Fix for recurrent * [Fix indentation error] * Fixed BC * Remove Dead code * Addressing comment : Removing dead code * Fixing the Pytest * edited comments * Removing GraphScope from the InternalBrain (#1227) * Documentation changes for removing graph scope (#1226) * Documentation changes * removed the keep checkpoint printing |
6 年前 |
GitHub | 3c9603d6 | Demonstration Recorder (#1240) | 6 年前 |
eshvk | ef8009d9 |
Python code reformat via [`black`](https://github.com/ambv/black).
Features: - Reformat code via black. - Adding circleci configurations. - Add contribution guidelines. Steps to reproduce: - `pip install black` - `black <source code directory>` |
6 年前 |
GitHub | 4ac79742 |
Refactor reward signals into separate class (#2144)
* Create new class (RewardSignal) that represents a reward signal. * Add value heads for each reward signal in the PPO model. * Make summaries agnostic to the type of reward signals, and log weighted rewards per reward signal. * Move extrinsic and curiosity rewards into this new structure. * Allow defining multiple reward signals in YAML file. Add documentation for this new structure. |
5 年前 |
GitHub | b05c9ac1 |
Add environment manager for parallel environments (#2209)
Previously in v0.8 we added parallel environments via the SubprocessUnityEnvironment, which exposed the same abstraction as UnityEnvironment while actually wrapping many parallel environments via subprocesses. Wrapping many environments with the same interface as a single environment had some downsides, however: * Ordering needed to be preserved for agents across different envs, complicating the SubprocessEnvironment logic * Asynchronous environments with steps taken out of sync with the trainer aren't viable with the Environment abstraction This PR introduces a new EnvManager abstraction which exposes a reduced subset of the UnityEnvironment abstraction and a SubprocessEnvManager implementation which replaces the SubprocessUnityEnvironment. |
5 年前 |
Ervin Teng | c912d140 | Make sure all tests pass on BC | 5 年前 |
GitHub | 0fe5adc2 |
Develop remove memories (#2795)
* Initial commit removing memories from C# and deprecating memory fields in proto * initial changes to Python * Adding functionalities * Fixes * adding the memories to the dictionary * Fixing bugs * tweeks * Resolving bugs * Recreating the proto * Addressing comments * Passing by reference does not work. Do not merge * Fixing huge bug in Inference * Applying patches * fixing tests * Addressing comments * Renaming variable to reflect type * test |
5 年前 |
GitHub | 652488d9 | check for numpy float64 (#2948) | 5 年前 |