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Dominik Roth 725e6c8fe1 Fixed wrong env name (still contained mp info)
2023-09-18 19:18:26 +02:00
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manipulation Fix: Incorrect Controller Type in mp_config for dmc reach_site 2023-08-28 17:34:46 +02:00
suite Ensure mp_config defined for all envs, even if just using defaults. 2023-09-17 17:29:26 +02:00
__init__.py Fixed wrong env name (still contained mp info) 2023-09-18 19:18:26 +02:00
README.MD renaming to fancy_gym 2022-07-13 15:10:43 +02:00

README.MD

DeepMind Control (DMC) Wrappers

These are the Environment Wrappers for selected DeepMind Control environments in order to use our Motion Primitive gym interface with them.

MP Environments

Name Description Trajectory Horizon Action Dimension Context Dimension
dmc_ball_in_cup-catch_promp-v0 A ProMP wrapped version of the "catch" task for the "ball_in_cup" environment. 1000 10 2
dmc_ball_in_cup-catch_dmp-v0 A DMP wrapped version of the "catch" task for the "ball_in_cup" environment. 1000 10 2
dmc_reacher-easy_promp-v0 A ProMP wrapped version of the "easy" task for the "reacher" environment. 1000 10 4
dmc_reacher-easy_dmp-v0 A DMP wrapped version of the "easy" task for the "reacher" environment. 1000 10 4
dmc_reacher-hard_promp-v0 A ProMP wrapped version of the "hard" task for the "reacher" environment. 1000 10 4
dmc_reacher-hard_dmp-v0 A DMP wrapped version of the "hard" task for the "reacher" environment. 1000 10 4