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Reinforcement Learning in PyTorch

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Learning to Manipulate Deformable Objects without Demonstrations

This is the code that corresponds to the paper

rlpyt Usage

See the original library for more information on the design of the library

Installation

Install mujoco-py with mujoco200

Install a custom version of dm_control

Install a custom version of dm_env

Install the original rlpyt environment

Running

All launch scripts are in rlpyt/experiments/scripts/dm_control/qpg/sac/launch

Cloth

For Cloth (State), see launch_dm_control_sac_state_cloth_point.py

For Cloth (Pixel), see launch_dm_control_sac_pixels_cloth_point.py

For Cloth-Simplified (State), see launch_dm_control_sac_state_cloth_corner.py

Rope

For Rope (State), see launch_dm_control_state_rope.py

For Rope (Pixel), see launch_dm_control_pixels_rope.py

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Reinforcement Learning in PyTorch

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