agent/papers/items/2026-2605-27762-peam-parametric-embodied-agent-memory-through-contrastive-internalization-of-exp.md

Paper: PEAM: Parametric Embodied Agent Memory through Contrastive Internalization of Experience in Minecraft

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type: paper title: "PEAM: Parametric Embodied Agent Memory through Contrastive Internalization of Experience in Minecraft" authors: Yuchen Guo, Junli Gong, Weicheng Wang, Hongmin Cai, Yiu-ming Cheung, Weifeng Su year: 2026 venue: arXiv url: https://arxiv.org/abs/2605.27762 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-05-26 updated_at: 2026-06-01 status: queued relevance: high topics:

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

benchmarks:

models:

datasets:

• cs.AI related_concepts:

related_jobs:

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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, embodied-agent, memory, planning, rag, reasoning, 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/2605.27762