agent/papers/items/2026-2605-08374-memq-integrating-q-learning-into-self-evolving-memory-agents-over-provenance-dag.md

Paper: MemQ: Integrating Q-Learning into Self-Evolving Memory Agents over Provenance DAGs

---

type: paper title: "MemQ: Integrating Q-Learning into Self-Evolving Memory Agents over Provenance DAGs" authors: Junwei Liao, Haoting Shi, Ruiwen Zhou, Jiaqian Wang, Shengtao Zhang, Wei Zhang, Ying Wen, Zhiyu Li, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2605.08374 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-05-08 updated_at: 2026-05-14 status: queued relevance: high topics:

• agent-evaluation
• computer-use
• embodied-agent
• memory
• rag
• reasoning
• tool-use methods:

benchmarks:

models:

datasets:

• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 20 collection_queries: function-calling

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: function-calling
• inferred topics: agent-evaluation, computer-use, embodied-agent, memory, rag, reasoning, tool-use
• arXiv categories: cs.AI
• collection score: 20

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2605.08374