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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
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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
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
9 次代码提交 (47893e9c-4269-4b8d-9c76-911f580807fe)
作者 | SHA1 | 备注 | 提交日期 |
---|---|---|---|
GitHub | 93760bc4 |
Adds SubprocessUnityEnvironment for parallel envs (#1751)
This commit adds support for running Unity environments in parallel. An abstract base class was created for UnityEnvironment which a new SubprocessUnityEnvironment inherits from. SubprocessUnityEnvironment communicates through a pipe in order to send commands which will be run in parallel to its workers. A few significant changes needed to be made as a side-effect: * UnityEnvironments are created via a factory method (a closure) rather than being directly created by the main process. * In mlagents-learn "worker-id" has been replaced by "base-port" and "num-envs", and worker_ids are automatically assigned across runs. * BrainInfo objects now convert all fields to numpy arrays or lists to avoid serialization issues. |
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 | 19283bfa |
Very simple environment for testing (#2266)
* WIP doesn't crash * return stats and assert convergence * pass lint checks * rename * fix-reset-params * add time penalty * _get_measure_vals always returns something * fix tests * unused import * single env, fix double step * move LocalEnvManager to ml-agents-envs * move and rename EnvManager * remove obsolete docstring and method * clean up |
5 年前 |
GitHub | babe9e2f |
Develop remove academy done (#2519)
* Initial Commit * Remove the Academy Done flag from the protobuf definitions * remove global_done in the environment * Removed irrelevant unitTests * Remove the max_step from the Academy inspector * Removed global_done from the python scripts * Modified and removed some tests * This actually does not break either curriculum nor generalization training * Replace global_done with reserved. Addressing Chris Elion's comment regarding the deprecation of the global_done field. We will use a reserved field to make sure the global done does not get replaced in the future causing errors. * Removed unused fake brain * Tested that the first call to step was the same as a reset call * black formating * Added documentation changes * Editing the migrating doc * Addressing comments on the Migrating doc * Addressing comments : - Removing dead code - Resolving forgotten merged conflicts - Editing documentations... |
5 年前 |
GitHub | 67d754c5 |
Fix flake8 import warnings (#2584)
We have been ignoring unused imports and star imports via flake8. These are both bad practice and grow over time without automated checking. This commit attempts to fix all existing import errors and add back the corresponding flake8 checks. |
5 年前 |
GitHub | e1d93a0e |
Allow mypy to reject incomplete defs for mlagents-envs (#2585)
This wasn't working before because of several remaining partially defined function definitions. |
5 年前 |
GitHub | 4da157fe | more pylint fixes (#2842) | 5 年前 |
GitHub | ccb7eab4 |
Remove {text,custom} {action,observations} (#2839)
* delete text actions and obs * delete custom actions and obs * regenerate protos * cleanup C# * format * fix tests * fix base env signature * doc cleanup |
5 年前 |
GitHub | 8ec5ab62 |
Develop side channels: migrate reset parameters (#2990)
* [WIP] Side Channel initial layout * Working prototype for raw bytes * fixing format mistake * Added some errors and some unit tests in C# * Added the side channel for the Engine Configuration. (#2958) * Added the side channel for the Engine Configuration. Note that this change does not require modifying a lot of files : - Adding a sender in Python - Adding a receiver in C# - subscribe the receiver to the communicator (here is a one liner in the Academy) - Add the side channel to the Python UnityEnvironment (not represented here) Adding the side channel to the environment would look like such : ```python from mlagents.envs.environment import UnityEnvironment from mlagents.envs.side_channel.raw_bytes_channel import RawBytesChannel from mlagents.envs.side_channel.engine_configuration_channel import EngineConfigurationChannel channel0 = RawBytesChannel() channel1 = EngineConfigurationChanne... |
5 年前 |