Bibliography (13):

1. https://deepmind.google/discover/blog/ai-for-the-board-game-diplomacy/

2. CICERO: Human-level play in the game of Diplomacy by combining language models with strategic reasoning

3. Learning to Play No-Press Diplomacy with Best Response Policy Iteration

4. Emergent Social Learning via Multi-agent Reinforcement Learning

5. Adaptive Mechanism Design: Learning to Promote Cooperation

6. TarMAC: Targeted Multi-Agent Communication

7. Over-communicate no more: Situated RL agents learn concise communication protocols

8. Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions

9. Finding Friend and Foe in Multi-Agent Games

10. Towards Learning Multi-agent Negotiations via Self-Play

11. Melting Pot 2.0

12. Wikipedia Bibliography:

    1. Diplomacy (game)

    2. Reinforcement learning