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Currently the CI fails on one of the tests where the observation and goal are compared after sequential resets. After changing to MuJoco from mujoco-py it seems that there are a few environments where issues arise because objects aren't in exactly the same places after resets. The current fix is to replace len(np.unique(np.array(task_initial_pos), axis=0)) > 1 with len(np.unique(np.array(task_initial_pos), axis=0)) > 1 and not np.allclose( task_initial_pos[0], task_initial_pos[1], rtol=1e-2, atol=1e-2 ) but this masks the problem just to get the CI to pass
The text was updated successfully, but these errors were encountered:
Currently the CI fails on one of the tests where the observation and goal are compared after sequential resets. After changing to MuJoco from mujoco-py it seems that there are a few environments where issues arise because objects aren't in exactly the same places after resets. The current fix is to replace
len(np.unique(np.array(task_initial_pos), axis=0)) > 1
withlen(np.unique(np.array(task_initial_pos), axis=0)) > 1 and not np.allclose( task_initial_pos[0], task_initial_pos[1], rtol=1e-2, atol=1e-2 )
but this masks the problem just to get the CI to passThe text was updated successfully, but these errors were encountered: