agent/papers/items/2026-2606-01528-joint-agent-memory-and-exploration-learning-via-novelty-signals.md

Paper: Joint Agent Memory and Exploration Learning via Novelty Signals

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type: paper title: Joint Agent Memory and Exploration Learning via Novelty Signals authors: Shizuo Tian, Xiaohong Weng, Rui Kong, Yuxuan Chen, Guohong Liu, Yuebing Song, Jiacheng Liu, Yuchen Li, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.01528 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-01 updated_at: 2026-06-01 status: queued relevance: high topics:

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

benchmarks:

models:

datasets:

• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 17 collection_queries: agent-memory

One-line Takeaway

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

Why Collected

• matched queries: agent-memory
• inferred topics: agent-evaluation, computer-use, memory, rag, tool-use
• arXiv categories: cs.AI
• collection score: 17

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/2606.01528