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v0.1
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 * In mlagents-learn "worker-id" has been replaced by "base-port" and "num-envs", and worker_ids are automatically assigned across runs.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 | |
|---|---|---|
| .. | ||
| __init__.py | Refactor Trainers to use Policy (#1098) | 6 年前 |
| models.py | Split `mlagents` into two packages (#1812) | 6 年前 |
| policy.py | Fix continuous curriosity | 6 年前 |
| trainer.py | Adds SubprocessUnityEnvironment for parallel envs (#1751) | 6 年前 |