novastar112/sokoban_easy_1box_remap_prev
VisGym sokoban_easy_1box Remap-Prev Solver-success Sokoban trajectories generated from the VisGym Sokoban environment. HF repo: https://huggingface.co/datasets/novastar112/sokoban_easy_1box_remap_prev task: sokoban_easy_1box env_id: sokoban/easy env_kwargs: {"action_mode": "move_only", "dim_room": [7, 7], "max_steps": 20, "num_boxes": 1, "num_gen_steps": 23, "success_mode": "stop_then_solved"} action schema: move-only ('move', 1..4) plus ('stop', 'stop') success semantics:… See the full description on the dataset page: https://huggingface.co/datasets/novastar112/sokoban_easy_1box_remap_prev.
VisGym sokobaneasy1box Remap-Prev
Solver-success Sokoban trajectories generated from the VisGym Sokoban environment.
- HF repo:
https://huggingface.co/datasets/novastar112/sokoban_easy_1box_remap_prev - task:
sokoban_easy_1box - env_id:
sokoban/easy - envkwargs: `{"actionmode": "moveonly", "dimroom": [7, 7], "maxsteps": 20, "numboxes": 1, "numgensteps": 23, "successmode": "stopthen_solved"}`
- action schema: move-only
('move', 1..4)plus('stop', 'stop') - success semantics:
stop_then_solved - image policy: every history step has
image_prev == image; the final step hasimage_next == image
The dataset is intended for the remap-prev training setup used by the Sokoban CE+MSE experiments.
