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Farama-Foundation / D4RL

A collection of reference environments for offline reinforcement learning
Apache License 2.0
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Issue with env.sim.set_state(obs) , also tried env.set_state(obs) #217

Open rebecajohn opened 1 year ago

rebecajohn commented 1 year ago

Issue with env.sim.set_state(obs) , also tried env.set_state(obs)

WARNING:py.warnings:/usr/local/lib/python3.10/dist-packages/ipykernel/ipkernel.py:283: DeprecationWarning: should_run_async will not call transform_cell automatically in the future. Please pass the result to transformed_cell argument and any exception that happen during thetransform in preprocessing_exc_tuple in IPython 7.17 and above. and should_run_async(code)

WARNING:py.warnings:/usr/local/lib/python3.10/dist-packages/gym/spaces/box.py:128: UserWarning: WARN: Box bound precision lowered by casting to float32 upp_bounded = ~self.bounded_below & self.bounded_above

WARNING:py.warnings:/usr/local/lib/python3.10/dist-packages/gym/core.py:317: DeprecationWarning: WARN: Initializing wrapper in old step API which returns one bool instead of two. It is recommended to set new_step_api=True to use new step API. This will be the default behaviour in future. @abstractmethod

WARNING:py.warnings:/usr/local/lib/python3.10/dist-packages/gym/wrappers/step_api_compatibility.py:39: DeprecationWarning: WARN: Initializing environment in old step API which returns one bool instead of two. It is recommended to set new_step_api=True to use new step API. This will be the default behaviour in future.

AttributeError Traceback (most recent call last)

in <cell line: 7>() 6 7 for obs in observations: ----> 8 env.sim.set_state(obs) 9 env.render(mode='rgb_array') 10

mjsim.pyx in mujoco_py.cymj.MjSim.set_state()

AttributeError: 'numpy.ndarray' object has no attribute 'time'