Reward Improvements in LLM-Agent Training
wzenus · x · 2026-07-10
An invited talk from CMU highlighted an issue in LLM-agent training: scalar rewards can induce failure modes. To address this, the speaker proposed improving MaxRL with rich text feedback and self-distillation, stabilizing training by normalizing updates according to task difficulty.
Related event: ICML 2026 FAGEN Workshop Spotlights AI Agent Failure Modes(11 posts)→
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