@@ -346,7 +346,7 @@ Train a state-based policy for the basic cube stacking task:
346346.. code :: bash
347347
348348 ./isaaclab.sh -p scripts/imitation_learning/robomimic/train.py \
349- --task Isaac-Stack-Cube-Franka-IK-Rel-v0 \
349+ --task Isaac-Stack-Cube-Franka-IK-Rel-Skillgen- v0 \
350350 --algo bc \
351351 --dataset ./datasets/generated_dataset_skillgen_cube_stack.hdf5
352352
@@ -358,13 +358,13 @@ Train a policy for the more complex adaptive bin stacking:
358358.. code :: bash
359359
360360 ./isaaclab.sh -p scripts/imitation_learning/robomimic/train.py \
361- --task Isaac-Stack-Cube-Bin-Franka-IK-Rel-v0 \
361+ --task Isaac-Stack-Cube-Bin-Franka-IK-Rel-Mimic- v0 \
362362 --algo bc \
363363 --dataset ./datasets/generated_dataset_skillgen_bin_cube_stack.hdf5
364364
365365 .. note ::
366366
367- The training script will save the model checkpoints in the model directory under ``PATH_TO_MODEL_DIRECTORY /logs/model_checkpoint.pth ``.
367+ The training script will save the model checkpoints in the model directory under ``IssacLab /logs/robomimic ``.
368368
369369Evaluating Trained Policies
370370^^^^^^^^^^^^^^^^^^^^^^^^^^^^
@@ -376,7 +376,7 @@ Test your trained policies:
376376 # Basic cube stacking evaluation
377377 ./isaaclab.sh -p scripts/imitation_learning/robomimic/play.py \
378378 --device cpu \
379- --task Isaac-Stack-Cube-Franka-IK-Rel-v0 \
379+ --task Isaac-Stack-Cube-Franka-IK-Rel-Skillgen- v0 \
380380 --num_rollouts 50 \
381381 --checkpoint /path/to/model_checkpoint.pth
382382
@@ -385,7 +385,7 @@ Test your trained policies:
385385 # Adaptive bin stacking evaluation
386386 ./isaaclab.sh -p scripts/imitation_learning/robomimic/play.py \
387387 --device cpu \
388- --task Isaac-Stack-Cube-Bin-Franka-IK-Rel-v0 \
388+ --task Isaac-Stack-Cube-Bin-Franka-IK-Rel-Mimic- v0 \
389389 --num_rollouts 50 \
390390 --checkpoint /path/to/model_checkpoint.pth
391391
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