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Iterated Prisoner's Dilemma

otheractiveiterated-prisoner-s-dilemma-740f06f5·1 events·first seen May 20, 2026

Aliases: Iterated Prisoner's Dilemma

Co-occurring entities

Tit-for-Tat OpenAI Learning with Opponent-Learning Awareness (LOLA)

More like this (12)

Iterated Amplification When Agents Lie: Premeditation, Persistence, and Exploitation in Repeated Games AI Persuasive Framing in Collective Dilemmas Regret Minimization with Adaptive Opponents in Repeated Games Game-Theoretic Equilibria Collective Risk Game Q-learning Constrained Reinforcement Learning Hide-and-Seek Multi-Agent Environment DNQ: Deep Nash Q-Network for Partially Observable n-Player Games Imitation Learning Tit-for-Tat

Recent events (1)

4Openai Blog·May 20, 2026·source ↗

Learning to Model Other Minds: OpenAI Releases LOLA Algorithm

OpenAI has released Learning with Opponent-Learning Awareness (LOLA), an algorithm designed for multi-agent settings where each agent accounts for the fact that other agents are also learning. LOLA discovers self-interested yet collaborative strategies such as tit-for-tat in the iterated prisoner's dilemma. The work represents an early step toward agents capable of modeling other minds and reasoning about opponent behavior.

AI Safety Research Agent and Tool Ecosystem Iterated Prisoner's Dilemma Tit-for-Tat OpenAI +1 more