Back to feed
arXiv cs.CL·

What Training Data Teaches RL Memory Agents: An Empirical Study of Curriculum Effects in Memory-Augmented QA

Signal
72
Hype
15
In three linesEmpirical study on curriculum effects for RL memory agents in multi-session dialogue with external memory banks. Three training conditions tested (LoCoMo only, LoCoMo + LongMemEval, LongMemEval only) show curriculum composition shapes specialized skills rather than uniform performance scaling. Mixed curriculum achieves strongest overall F1.
Read source
Your take?
Reinforcement learningAI AgentsReasoningBenchmarks

Summary generated by Claude — human-verified