MInTRL: Off-policy Intervention can boost On-policy RL
MInTRL injects sparse judge corrections into on-policy RL rollouts, expanding exploration beyond on-policy sampling while preserving learnability on math and code benchmarks.
1 stories, newest first · one card per story
MInTRL injects sparse judge corrections into on-policy RL rollouts, expanding exploration beyond on-policy sampling while preserving learnability on math and code benchmarks.
Today 1.6K readers · 2.5K views · 778 reads · all time 189K views