Reflective Prompted Policy Optimization: Trajectory-Grounded Revision and Salience Bias

Rahaf Abu Hara, Vaibbhav Murarri, Claudio Zito

Existing LLM-based policy optimizers see only scalar rewards: that a policy scored 0.45, but not whether the agent got stuck in a loop, fell into a hole on the third step, or perfo…