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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.

sourceHugging Faceotherupdated 5mo agoView on Hugging Face
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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 has image_next == image

The dataset is intended for the remap-prev training setup used by the Sokoban CE+MSE experiments.