mlsanityData to 7 Oct 2026

NegotiationGym: Self-Optimizing Agents in a Multi-Agent Social Simulation Environment

arXiv 2510.04368 ↗First posted 5 Oct 2025cs.MA cs.AIcited by 3

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Abstract (arXiv)

We design and implement NegotiationGym, an API and user interface for configuring and running multi-agent social simulations focused upon negotiation and cooperation. The NegotiationGym codebase offers a user-friendly, configuration-driven API that enables easy design and customization of simulation scenarios. Agent-level utility functions encode optimization criteria for each agent, and agents can self-optimize by conducting multiple interaction rounds with other agents, observing outcomes, and modifying their strategies for future rounds.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 8 of its 14 references that are in the map. First posted on arXiv 5 Oct 2025.

Builds on

8 of 14 references.

References · 8

  1. 2023Reflexion: Language Agents with Verbal Reinforcement Learningcited by 4,064
  2. 2023AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversationcited by 1,906
  3. 2023Improving Factuality and Reasoning in Language Models through Multiagent Debatecited by 1,739
  4. 2023Large Language Models Cannot Self-Correct Reasoning Yetcited by 965
  5. 2023Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedbackcited by 202
  6. 2024ElectionSim: Massive Population Election Simulation Powered by Large Language Model Driven Agentscited by 35
  7. 2024A Simulation System Towards Solving Societal-Scale Manipulationcited by 12
  8. 2025LLM Agents for Bargaining with Utility-based Feedbackcited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 3.

3 papers.

  1. 2026LLM Agents in Law: Taxonomy, Applications, and Challengescited by 5
  2. 2026Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systemscited by 5
  3. 2026No One Wins in Nuclear War: A Social Simulation of Military Decision-makingcited by 0