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license: cc-by-nc-4.0
pretty_name: UWM Paper Evaluation Trajectories
tags:
  - world-model
  - evaluation
  - trajectories
  - bagel

UWM paper evaluation trajectories

Complete, unselected model outputs for the UWM paper tables. 108/110 planned run archives are currently published; remaining rows are evaluations still running or not yet complete.

Each archive contains all available per-episode generated observations (gen_obs/), environment renders (renders/), rollout GIFs, verbatim generated reasoning text, actions, episode statistics, and the run summary. Text/JSON metadata is scrubbed of machine-local paths before publication.

Agent-generated observation images are required and included for CoT, forward-thinking, and branching runs. The NonCoT action-chunk policy emits no imagined image in the evaluated protocol (n_imagined=0); for those rows this field is not applicable, and the archive contains the actual actions, environment frames, GIF, and stats.

Table1

Task Eval set Model Trajectory archive Checkpoint Eval data Result
sokoban Ordinary Hard k1_noncot download model dataset 47.0%
sokoban Ordinary Hard k3_cot download model dataset 53.0%
sokoban Ordinary Hard k3_noncot download model dataset 10.0%
sokoban Ordinary Hard k5_cot download model dataset 40.0%
sokoban Ordinary Hard k5_noncot download model dataset 2.0%
sokoban Ordinary Hard k10_cot download model dataset 15.0%
sokoban Ordinary Hard k10_noncot download model dataset 0.0%
sokoban Ordinary Hard kinf_cot download model dataset 19.0%
sokoban Ordinary Hard kinf_noncot download model dataset 0.0%
maze2d Ordinary Hard k1_noncot download model dataset 62.0%
maze2d Ordinary Hard k3_cot download model dataset 59.0%
maze2d Ordinary Hard k3_noncot download model dataset 54.0%
maze2d Ordinary Hard k5_cot download model dataset 40.0%
maze2d Ordinary Hard k5_noncot download model dataset 23.0%
maze2d Ordinary Hard k10_cot download model dataset 21.0%
maze2d Ordinary Hard k10_noncot download model dataset 2.0%
maze2d Ordinary Hard kinf_cot download model dataset 3.0%
maze2d Ordinary Hard kinf_noncot download model dataset 0.0%
pacman Ordinary Hard k1_noncot download model dataset 84.0%
pacman Ordinary Hard k3_cot download model dataset 38.0%
pacman Ordinary Hard k3_noncot download model dataset 25.0%
pacman Ordinary Hard k5_cot download model dataset 37.0%
pacman Ordinary Hard k5_noncot download model dataset 1.0%
pacman Ordinary Hard k10_cot download model dataset 7.0%
pacman Ordinary Hard k10_noncot download model dataset 0.0%
pacman Ordinary Hard kinf_cot download model dataset 6.0%
pacman Ordinary Hard kinf_noncot download model dataset 0.0%
pacman Two-Ghost k1_noncot download model dataset 78.0%
pacman Two-Ghost k3_cot download model dataset 70.0%
pacman Two-Ghost k3_noncot download model dataset 72.0%
pacman Two-Ghost k5_cot download model dataset 62.0%
pacman Two-Ghost k5_noncot download model dataset 69.0%
pacman Two-Ghost k10_cot download model dataset 52.0%
pacman Two-Ghost k10_noncot download model dataset 57.0%
pacman Two-Ghost kinf_cot download model dataset 57.0%
pacman Two-Ghost kinf_noncot download model dataset 48.0%
pusht Mid (left-up) k1_noncot download model dataset 60.0%
pusht Far (four corners) k1_noncot download model dataset 31.0%
pusht Mid (left-up) k3_cot download model dataset 19.0%
pusht Far (four corners) k3_cot download model dataset 9.0%
pusht Mid (left-up) k3_noncot download model dataset 7.0%
pusht Far (four corners) k3_noncot download model dataset 7.0%
pusht Mid (left-up) k5_cot download model dataset 18.0%
pusht Far (four corners) k5_cot download model dataset 9.0%
pusht Mid (left-up) k5_noncot download model dataset 9.0%
pusht Far (four corners) k5_noncot download model dataset 0.0%
pusht Mid (left-up) k10_cot download model dataset 6.0%
pusht Far (four corners) k10_cot download model dataset 3.0%
pusht Mid (left-up) k10_noncot download model dataset 2.0%
pusht Far (four corners) k10_noncot download model dataset 0.0%
pusht Mid (left-up) kinf_cot download model dataset 1.0%
pusht Far (four corners) kinf_cot download model dataset 2.0%
pusht Mid (left-up) kinf_noncot download model dataset 0.0%
pusht Far (four corners) kinf_noncot download model dataset 3.0%

Table2

Task Eval set Model Trajectory archive Checkpoint Eval data Result
sokoban 2-box Deadlock van5k download model dataset 22.0%
sokoban 2-box Deadlock always5k download model dataset 60.0%
sokoban 2-box Deadlock bra5k download model dataset 30.0%
sokoban 3-box Deadlock van5k download model dataset 39.0%
sokoban 3-box Deadlock always5k download model dataset 48.0%
sokoban 3-box Deadlock bra5k download model dataset 39.0%
sokoban 4-box Deadlock van5k download model dataset 27.0%
sokoban 4-box Deadlock always5k download model dataset 24.0%
sokoban 4-box Deadlock bra5k download model dataset 32.0%
sokoban 2-box Structural Fork van5k download model dataset 85.0%
sokoban 2-box Structural Fork always5k download model dataset 84.0%
sokoban 2-box Structural Fork bra5k download model dataset 79.0%
sokoban 3-box Structural Fork van5k download model dataset 34.0%
sokoban 3-box Structural Fork always5k download model dataset 46.0%
sokoban 3-box Structural Fork bra5k download model dataset 39.0%
sokoban 4-box Structural Fork van5k download model dataset 22.0%
sokoban 4-box Structural Fork always5k download model dataset 22.0%
sokoban 4-box Structural Fork bra5k download model dataset 32.0%
pacman Ordinary Hard pacman_forward_v1 download model dataset 6.0%
pacman Two-Ghost pacman_forward_v1 download model dataset 54.0%
pacman Forward Stress G8 pacman_vanilla_kinf download model dataset 78.0%
pacman Forward Stress G8 pacman_forward_v1 download model dataset 78.0%
pacman Forward Stress G8 pacman_forward_v2 pending pending model publication dataset
pacman Forward Stress G12 pacman_vanilla_kinf download model dataset 9.0%
pacman Forward Stress G12 pacman_forward_v1 download model dataset 4.0%
pacman Forward Stress G12 pacman_forward_v2 pending pending model publication dataset

Table3

Task Eval set Model Trajectory archive Checkpoint Eval data Result
sokoban 2-box Deadlock van5k_rl90 download model dataset 21.0%
sokoban 2-box Deadlock fwd3k_sft download model dataset 41.0%
sokoban 2-box Deadlock fwd3k_rl90 download model dataset 19.0%
sokoban 2-box Deadlock bra3k_sft download model dataset 37.0%
sokoban 2-box Deadlock bra3k_rl90 download model dataset 36.0%
sokoban 3-box Deadlock van5k_rl90 download model dataset 42.0%
sokoban 3-box Deadlock fwd3k_sft download model dataset 38.0%
sokoban 3-box Deadlock fwd3k_rl90 download model dataset 38.0%
sokoban 3-box Deadlock bra3k_sft download model dataset 35.0%
sokoban 3-box Deadlock bra3k_rl90 download model dataset 44.0%
sokoban 4-box Deadlock van5k_rl90 download model dataset 37.0%
sokoban 4-box Deadlock fwd3k_sft download model dataset 25.0%
sokoban 4-box Deadlock fwd3k_rl90 download model dataset 34.0%
sokoban 4-box Deadlock bra3k_sft download model dataset 30.0%
sokoban 4-box Deadlock bra3k_rl90 download model dataset 41.0%
sokoban 2-box Structural Fork van5k_rl90 download model dataset 85.0%
sokoban 2-box Structural Fork fwd3k_sft download model dataset 78.0%
sokoban 2-box Structural Fork fwd3k_rl90 download model dataset 66.0%
sokoban 2-box Structural Fork bra3k_sft download model dataset 84.0%
sokoban 2-box Structural Fork bra3k_rl90 download model dataset 85.0%
sokoban 3-box Structural Fork van5k_rl90 download model dataset 42.0%
sokoban 3-box Structural Fork fwd3k_sft download model dataset 35.0%
sokoban 3-box Structural Fork fwd3k_rl90 download model dataset 41.0%
sokoban 3-box Structural Fork bra3k_sft download model dataset 33.0%
sokoban 3-box Structural Fork bra3k_rl90 download model dataset 44.0%
sokoban 4-box Structural Fork van5k_rl90 download model dataset 30.0%
sokoban 4-box Structural Fork fwd3k_sft download model dataset 23.0%
sokoban 4-box Structural Fork fwd3k_rl90 download model dataset 28.0%
sokoban 4-box Structural Fork bra3k_sft download model dataset 22.0%
sokoban 4-box Structural Fork bra3k_rl90 download model dataset 28.0%

Integrity

manifest.json records the source run identifier, summary metrics, remote archive path, byte size, file count, and SHA-256 digest when the archive was packaged by this release tool.

Table 2 uses the frozen six-set, 100-episode, max-40 execution contract. Table 3 currently tracks the matched pre-RL/RL90 max-40 evaluation; completed rows appear automatically when their run summary exists.