Off-policy RL entry scores 0.990 RDS on CoRL 2026 RoboEval
A π0.5 policy trained with AWR, RECAP, generated demos and failure recoveries also scores 0.987 on official seeds.
2 stories, newest first · one card per story
A π0.5 policy trained with AWR, RECAP, generated demos and failure recoveries also scores 0.987 on official seeds.
Without finetuning, one checkpoint reaches 86.79 percent success on unseen training-object trajectories and 57.32 percent on held-out objects.
Today 718 readers · 849 views · 277 reads · all time 187K views