Stone Tao
Stone Tao
Currently we just run the replay tool for coverage purposes. Should add tests to check the actual contents of the saved trajectories/videos.
Likely to be fixed in Sapien instead, but kept as an issue here for visibility. Originally from #130 The current fix is to make sure all cameras are using the...
Using gymnasiums vector env and context="forkserver" (other contexts do not work for me, I don't entirely know why), the code runs fine and can be verified by running the demo_vec_env.py...
When running all tests, sometimes I get ``` FAILED tests/test_wrappers.py::test_recordepisode_wrapper[state_dict-PickSingleEGAD-v0] - RuntimeError: Renderer is not created. Renderer creation is required before any other operation. ``` When testing just the test_wrappers...
The pytest that shows this is ``` @pytest.mark.parametrize("env_id", ENV_IDS) def test_states(env_id): env: BaseEnv = gym.make(env_id) obs, _ = env.reset(seed=1000) for _ in range(5): env.step(env.action_space.sample()) state = env.get_state() obs = env.get_obs()...
I'm getting this message when I run the example code in the readme that generates videos. It seems in headless=False mode it can't open the viewer and the env.render function...
Was wondering if it is possible to get some environment state and then set the environment back to the same exact state later? I tried using `envs.gym.set_actor_root_state_tensor_indexed` and `envs.gym.set_dof_state_tensor_indexed` among...