[feature] Add experimental PyTorch support #4335
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# Conflicts: # ml-agents/mlagents/trainers/policy/tf_policy.py
Co-authored-by: Vincent-Pierre BERGES <vincentpierre@unity3d.com> Co-authored-by: Ervin T <ervin@unity3d.com>
…gents into develop-add-fire-export
This reverts commit 3d7b809.
ervteng
commented
Aug 20, 2020
| @@ -460,7 +460,7 @@ you would like to contribute environments, please see our | |||
| head, thighs, shins, feet, arms, forearms and hands. | |||
| - Goal: The agents must move its body toward the goal direction without falling. | |||
| - `WalkerDynamic`- Goal direction is randomized. | |||
| - `WalkerDynamicVariableSpeed`- Goal direction and walking speed are randomized. | |||
| - `WalkerDynamicVariableSpeed`- Goal direction and walking speed are randomized. | |||
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I've tried to remove this, this delta isn't picked up by git 👿
vincentpierre
approved these changes
Aug 20, 2020
andrewcoh
approved these changes
Aug 20, 2020
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Proposed change(s)
Experimental implementations of PPO, SAC, Curiosity, and GAIL based on PyTorch modules. Exports to .onnx and should support inference for all network architectures found in example environmeents. Use
--torchin CLI or addframework: pytorchto trainer settings in YAML file to enable PyTorch backend.Known limitations:
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