DeferMem: Query-Time Evidence Distillation via Reinforcement Learning for Long-Term Agent Memory
cs.CL, cs.AI, cs.LG
Submitted: 2026-05-21
Updated: 2026-09-27
Code: https://github.com/huggingface/trl
Terminology
Sources
- Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
- Rethinking Memory in LLM based Agents: Representations, Operations, and Emerging Topics
- From Local to Global: A Graph RAG Approach to Query-Focused Summarization
- ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
- Memory in the Age of AI Agents
- A Survey of Agent Memory in the Second Half: Towards Self-Evolving and Long-Horizon Agents
- Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
- MemGPT: Towards LLMs as Operating Systems
- Beyond Pipelines: A Survey of the Paradigm Shift toward Model-Native Agentic AI
- Proximal Policy Optimization Algorithms
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Enhancing Agentic RL with Progressive Reward Shaping and Value-based Sampling Policy Optimization
- From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs
- General Agentic Memory Via Deep Research
- Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning
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