Our paper “CLEANER:Self-Purified Trajectories Boost Agentic Reinforcement Learning” is accepted to ICLR 2026 SPOT Workshop! [
Paper]; [
Code]. CLEANER resolves the credit assignment dilemma in agentic RL by training on self-purified trajectories, achieving SOTA performance with just one-third of the training cost.