mlsanityData to 14 Oct 2026

OverForge: Reasoning Through Strategies and Tactics Helps Cooperative Lifelong Adaptation

arXiv 2609.39727 ↗First posted 30 Sep 2026cs.AI cs.CL cs.MAcited by 0

On the map: LLM reasoning → Reasoning for agents, planning and code

also in 1 more
Abstract (arXiv)

Cooperative language-model agents must coordinate over long horizons and adapt to changing environments and to partners with unfamiliar conventions, yet existing agents map observations to actions without separating persistent coordination strategies from their tactical execution. We introduce OverForge, a training-free hierarchical architecture that separates strategic reasoning over roles and divisions of labour from tactical reasoning over actions within each agent's private, partner-conditioned world model. A metacognitive Prefrontal Cortex Module couples the two levels by forming strategy-action branches, imagining their consequences with a forward model, and committing when confident. In OvercookedV2, OverForge delivers 7 soups in a connected kitchen versus 3 for each flat LLM baseline, retains agreed roles, and adopts roles proposed by unfamiliar partners. Ablations and a fixed-strategy probe show that persistent strategies guide tactical adaptation while each reasoning level contributes to coordination. Memory restarts show that cross-episode partner knowledge supports task performance and partner prediction, linking the hierarchy to continual adaptation.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Reasoning for agents, planning and code, one of 17 directions in LLM reasoning. Builds on 31 of its 60 references that are in the map. First posted on arXiv 30 Sep 2026.

Builds on

31 of 60 references.

Closest ancestors · 6

Same direction, newest first

  1. 2025CausalPlan: Empowering Efficient LLM Multi-Agent Collaboration Through Causality-Driven Planning19 Aug
  2. 2025ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning12 Mar
  3. 2024Agents Thinking Fast and Slow: A Talker-Reasoner Architecture10 Oct
  4. 2024Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration23 May
  5. 2023ADaPT: As-Needed Decomposition and Planning with Language Models8 Nov
  6. 2023Reasoning with Language Model is Planning with World Model24 May

Other references · 25

  1. 2021On the Opportunities and Risks of Foundation Modelscited by 4,033
  2. 2023Voyager: An Open-Ended Embodied Agent with Large Language Modelscited by 2,191
  3. 2019On the Utility of Learning about Humans for Human-AI Coordinationcited by 349
  4. 2024AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agentscited by 339
  5. 2020Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?cited by 294
  6. 2025Hierarchical Reasoning Modelcited by 177
  7. 2023Theory of Mind for Multi-Agent Collaboration via Large Language Modelscited by 135
  8. 2025Gemini Robotics: Bringing AI into the Physical Worldcited by 83
  9. 2024PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Taskscited by 82
  10. 2025VL-JEPA: Joint Embedding Predictive Architecture for Vision-languagecited by 68
  11. 2023LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordinationcited by 48
  12. 2025Less is More: Recursive Reasoning with Tiny Networkscited by 45
13 more
  1. 2025Collab-Overcooked: Benchmarking and Evaluating Large Language Models as Collaborative Agentscited by 41
  2. 2025Optimus-2: Multimodal Minecraft Agent with Goal-Observation-Action Conditioned Policycited by 25
  3. 2025AutoToM: Scaling Model-based Mental Inference via Automated Agent Modelingcited by 23
  4. 2026AdaJEPA: An Adaptive Latent World Modelcited by 20
  5. 2025Towards Embodied Agentic AI: Review and Classification of LLM- and VLM-Driven Robot Autonomy and Interactioncited by 19
  6. 2025OvercookedV2: Rethinking Overcooked for Zero-Shot Coordinationcited by 16
  7. 2025Social World Modelscited by 16
  8. 2026V1: Unifying Generation and Self-Verification for Parallel Reasonerscited by 12
  9. 2026Scaling Discovery through Test-Time Communicationcited by 7
  10. 2024MindForge: Empowering Embodied Agents with Theory of Mind for Lifelong Cultural Learningcited by 5
  11. 2025Adapting Like Humans: A Metacognitive Agent with Test-time Reasoningcited by 5
  12. 2025Theory of Mind Using Active Inference: A Framework for Multi-Agent Cooperationcited by 2
  13. 2026Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamworkcited by 2

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