HiMPO: Hindsight-Informed Memory Policy Optimization for Less-Entangled Credit in Long-Horizon Agents
cs.CL, cs.LG
Submitted: 2026-06-15
Updated: 2026-09-01
Terminology
Sources
- ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
- BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent
- Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation
- MemPO: Self-Memory Policy Optimization for Long-Horizon Agents
- Scaling LLM Multi-turn RL with End-to-end Summarization-based Context Management
- DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- GTPO and GRPO-S: Token and Sequence-Level Reward Shaping with Policy Entropy
- MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents
- Hindsight Credit Assignment for Long-Horizon LLM Agents
- A-MEM: Agentic Memory for LLM Agents
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