Memory reward inflation in self-improving LLM agents
Read the original at arxiv.org→arXiv:2608.00017v1 Announce Type: new Abstract: Self-improving LLM agents increasingly learn from experience without updating any weights. Each episode is stored in an external memory, scored, and retrieved for...
Original headline: "Memory Reward Inflation in Self-Improving LLM Agents"
Coverage timeline
- Aug 4, 04:00 UTC arXiv cs.AI lead source Memory Reward Inflation in Self-Improving LLM Agents
- Aug 4, 04:00 UTC arXiv cs.AI CrystalMem: Elastic Memory for Self-Evolving LLM Agents via Knowledge Crystallization
- Aug 4, 04:00 UTC arXiv cs.CL MemoryForge: Synthesize Lifelong Memory for Human-Like LLM Agents