arXiv (OAI Expanded)
open access
Cheap Talk Stabilizes Strategic Interaction in LLM Agents
Large language models are increasingly deployed as interacting agents, making the persistence of their action policies across repeated interaction critical for reliable multi-agent operation. We investigate whether and how agent-generated, non-binding pre-play communication ("cheap talk") increases
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Theory of Scene: Breaking the Symmetry Trap in Multi-Agent LLM Coordination#1117651
- A Token/KV-Cache Communication Media Selection and Resource Allocation Strategy for Multi-Agent Collaboration#820467
- Why Do LLMs Struggle in Strategic Play? Broken Links Between Observations, Beliefs, and Actions#1034730
- Matching Game Preferences Through Dialogical Large Language Models: A Perspective#392028
- CoMAP: Co-Evolving World Models and Agent Policies for LLM Agents#926060
Record · ID 1110639
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive