AI - Meta AI Diplomacy Cicero
Advancing artificial intelligence research and development for strategic board games, through cutting-edge techniques and open-source collaboration at Meta AI Diplomacy Cicero.
- Name
- Meta AI Diplomacy Cicero -https://github.com/facebookresearch/diplomacy_cicero
- Last Audited At
About Meta AI Diplomacy Cicero
Meta AI Diplomacy Cicero is a research organization specializing in the development of artificial intelligence (AI) models for strategic board games, with a particular focus on Diplomacy. The company's work is based on the open-source platform ParlAI and leverages advanced machine learning techniques to create intelligent game agents.
Meta AI Diplomacy Cicero develops AI models using deep learning algorithms and reinforcement learning strategies. Their primary contributions include the strategic planning logic for Cicero and Diplodocus, which can be found in fairdiplomacy/agents/br_corr_bilateral_search.py and fairdiplomacy/agents/bqre1p_agent.py, respectively. The former is based on bilateral and correlated planning components, while the latter uses a Q-learning approach.
Additionally, the organization provides dialogue-free model architectures for reinforcement learning in diplomacy games through base_strategy_model/base_strategy_model.py, with training logic detailed in base_strategy_model/train_sl.py. Their models have been used to create agents that display strategic and competitive behavior, as demonstrated in the papers published in Science (November 2022) and accepted at ICLR 2023 (arxiv.org/abs/2210.05492).
Meta AI Diplomacy Cicero's core mission is to explore and expand the frontiers of AI research in strategic board games, focusing on developing advanced models capable of understanding complex strategic situations and making effective decisions. Their work showcases the potential for AI applications in various fields and highlights the importance of continued research and innovation in this area.