Not All Rollouts Are Worth Learning: On Trajectory Valuation for Post-Training Reinforcement Learning
Dynamic Trajectory Valuation is proposed, a simple and efficient framework that estimates trajectory utility at the mini-batch level and filters detrimental trajectories based solely on gradient information by operating at the optimization level.
Xue-Song Jia, Ziao Yang, Zhan-He Huang et al.
· 0 citations