card: all 12 discrete-env datasets re-recorded for the action-label gap; refresh counts and ladder figures

pyramids/simple-v0: re-record with the action-label gap fix (2.98% of rows held a placeholder 0); band U(4.8,7.1) unchanged

pyramids/medium-v0: re-record with the action-label gap fix (4.46% of rows held a placeholder 0); band U(2.7,4.9) unchanged

pushblock/simple-v0: re-record with the action-label gap fix (46.6% of rows held a placeholder 0); band U(3.25,4.75) unchanged

pushblock/medium-v0: re-record with the action-label gap fix (61.0% of rows held a placeholder 0); band U(2.1,3.2) unchanged

dungeon-escape/simple-v0: restore the band-qualified policy_id (stock-r23-group-temperature-range-3.0-4.0) dropped in the action-label re-record

dungeon-escape/medium-v0: restore the band-qualified policy_id (stock-r23-group-temperature-range-1.5-3.0) dropped in the action-label re-record

soccer-twos/simple-v0: re-record with the action-label gap fix (6.4% of rows were a placeholder [0,0,0]); per-team band U(2.1,3.4) and side-swap norm ~0.60 unchanged

soccer-twos/medium-v0: re-record with the action-label gap fix (6.4% of rows were a placeholder [0,0,0]); per-team band U(1.3,2.6) and side-swap norm ~0.80 unchanged

dungeon-escape/simple-v0: re-record with the action-label gap fix (action 0 share 32.49% -> 11.05%); band U(3.0,4.0) and norm 0.5990 unchanged

dungeon-escape/medium-v0: re-record with the action-label gap fix (action 0 share 36.93% -> 9.53%); band U(1.5,3.0) and norm 0.8007 unchanged

docs: pyramids + soccer-twos expert validation numbers after re-record

card: pyramids + soccer-twos expert-v0 re-record (all four discrete experts now fixed)

soccer-twos/expert-v0: fix action labels — the collector recorded a fabricated (0,0,0) for every step an agent spent inside ML-Agents' action-repeat gap (11.19% of rows held (0,0,0) where the policy's joint probability for it is 3.80%); it now carries the last real decision forward, so the action column matches the policy the trajectories were actually driven by

pyramids/expert-v0: fix action labels — the collector recorded a fabricated 0 for every step an agent spent inside ML-Agents' action-repeat gap (~6% of rows); it now carries the last real decision forward, so the action column matches the policy the trajectories were actually driven by

docs: dungeon-escape expert validation numbers after re-record

card: dungeon-escape expert-v0 re-record (35,505 ep, anchor 0.019355, medium norm 0.81)

dungeon-escape/expert-v0: fix action labels — the collector recorded a fabricated 0 for every step an agent spent inside ML-Agents' action-repeat gap (41.5% of rows); it now carries the last real decision forward, so the action column matches the policy the trajectories were actually driven by

docs: pushblock expert re-record numbers + decision-period action-label rule

card: pushblock expert-v0 re-record (53,039 ep, anchor 0.353699) + action-label data-quality notice

pushblock/expert-v0: fix action labels — the collector recorded a fabricated 0 for every step an agent spent inside ML-Agents' action-repeat gap (72.16% of rows); it now carries the last real decision forward, so the action column matches the policy the trajectories were actually driven by

docs(card): correct the companion policy-checkpoint list to Pyramids

docs: frame as offline-RL datasets (usable by any offline-RL method); add offline-reinforcement-learning tag

docs: add 'reduced backward from the expert' rationale to Quality ladders intro

fix: replace attached '~' (approx) with ≈ so HF markdown stops rendering it as strikethrough; backtick 'T ~ U' notation

fix: replace attached '~' (approx) with ≈ so HF markdown stops rendering it as strikethrough; backtick 'T ~ U' notation

fix: replace attached '~' (approx) with ≈ so HF markdown stops rendering it as strikethrough; backtick 'T ~ U' notation

fix: pyramids medium/simple episode counts in dataset table (4267->4159, 3040->3042) to match re-collected tiers

docs: intro describes softmax-temperature degradation for discrete tiers (not just action noise); refresh simple/medium spans

soccer-twos medium/simple: describe per-team per-match softmax-temperature-range self-play tiers (T~U(1.3,2.6)/U(2.1,3.4), side-swap norm ~0.80/0.60), replacing the epsilon-pool description

soccer-twos medium/simple: describe per-team per-match softmax-temperature-range self-play tiers (T~U(1.3,2.6)/U(2.1,3.4), side-swap norm ~0.80/0.60), replacing the epsilon-pool description

soccer-twos medium/simple: describe per-team per-match softmax-temperature-range self-play tiers (T~U(1.3,2.6)/U(2.1,3.4), side-swap norm ~0.80/0.60), replacing the epsilon-pool description

soccer-twos/simple-v0: epsilon-pool -> per-team per-match softmax-temperature-range self-play tier (each team T~U(2.1,3.4) per match, side-swap norm ~0.60)

soccer-twos/medium-v0: epsilon-pool -> per-team per-match softmax-temperature-range self-play tier (each team T~U(1.3,2.6) per match, side-swap norm ~0.80)

pushblock medium/simple: describe per-episode softmax-temperature-range tiers (T~U(2.1,3.2)/U(3.25,4.75), norm 0.80/0.60), replacing the fixed-T description

pushblock medium/simple: describe per-episode softmax-temperature-range tiers (T~U(2.1,3.2)/U(3.25,4.75), norm 0.80/0.60), replacing the fixed-T description

pushblock medium/simple: describe per-episode softmax-temperature-range tiers (T~U(2.1,3.2)/U(3.25,4.75), norm 0.80/0.60), replacing the fixed-T description

pushblock/simple-v0: fixed-T -> per-episode softmax-temperature-range tier (T~U(3.25,4.75) per episode, step-reward norm 0.6025)

pushblock/medium-v0: fixed-T -> per-episode softmax-temperature-range tier (T~U(2.1,3.2) per episode, step-reward norm 0.7984)

pyramids medium/simple: describe per-episode softmax-temperature-range tiers (T~U(2.7,4.9)/U(4.8,7.1)), replacing the fixed-T description

pyramids medium/simple: describe per-episode softmax-temperature-range tiers (T~U(2.7,4.9)/U(4.8,7.1)), replacing the fixed-T description

pyramids medium/simple: describe per-episode softmax-temperature-range tiers (T~U(2.7,4.9)/U(4.8,7.1)), replacing the fixed-T description

pyramids/simple-v0: fixed-T -> per-episode softmax-temperature-range tier (T~U(4.8,7.1) per episode, step-reward norm 0.6011)

pyramids/medium-v0: fixed-T -> per-episode softmax-temperature-range tier (T~U(2.7,4.9) per episode, step-reward norm 0.8076)

dungeon-escape medium/simple: describe new per-group softmax-temperature-range tiers (step-reward metric), replacing the old epsilon group-noise description

dungeon-escape medium/simple: describe new per-group softmax-temperature-range tiers (step-reward metric), replacing the old epsilon group-noise description

dungeon-escape medium/simple: describe new per-group softmax-temperature-range tiers (step-reward metric), replacing the old epsilon group-noise description

dungeon-escape/simple-v0: replace epsilon group-noise tier with per-group softmax-temperature-range tier (T~U(3.0,4.0) per cooperative group, step-reward norm 0.60)

dungeon-escape/medium-v0: replace epsilon group-noise tier with per-group softmax-temperature-range tier (T~U(1.5,3.0) per cooperative group, step-reward norm 0.80)

docs: pushblock/pyramids tiers -> softmax-temperature, step-reward metric