
38.3 - Erik Jenner on Learned Look-Ahead
AXRP - the AI X-risk Research Podcast
AI Strategies in Game Theory
This chapter explores the nuances of training AI models for strategic games like Othello and chess, focusing on their learning processes and the implications for interpretability. It discusses the complexities of neural networks, particularly regarding 'look ahead' planning and the challenges of understanding their decision-making behaviors.
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