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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
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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
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v0.1
4 次代码提交 (7d9eea6b-4b26-4b5a-a1f6-9350e9fe3ac8)
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 * In mlagents-learn "worker-id" has been replaced by "base-port" and "num-envs", and worker_ids are automatically assigned across runs.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 |
Jonathan Harper | d9a7e5b6 |
Fix failure on Academy Done() with parallel envs
When using parallel SubprocessUnityEnvironment instances along with Academy Done(), a new step might be taken when reset should have been called because some environments may have been done while others were not (making "global done" less useful). This change manages the reset on `global_done` at the level of the environment worker, and removes the global reset from TrainerController. |
6 年前 |
GitHub | 2671e1a0 |
Enable mypy in precommit checks (#2177)
* WIP precommit on top level * update CI * circleci fixes * intentionally fail black * use --show-diff-on-failure in CI * fix command order * rebreak a file * apply black * WIP enable mypy * run mypy on each package * fix trainer_metrics mypy errors * more mypy errors * more mypy * Fix some partially typed functions * types for take_action_outputs * fix formatting * cleanup * generate stubs for proto objects * fix ml-agents-env mypy errors * disallow-incomplete-defs for gym-unity * Add CI notes to CONTRIBUTING.md |
6 年前 |