Exploring AI in Game Theory and Beyond: A Conversation with Thomas Sandholm
Dec. 28, 2018
·1h 06m
In this engaging conversation, Thomas Sandholm, a professor and co-creator of Lebratus, discusses the significance of Heads Up No Limit Texas Hold'em as a benchmark for AI development in imperfect information games. He shares insights from his groundbreaking work where Lebratus, an AI system, outperformed top human poker players. Sandholm delves into the complexities of game theory, the challenges of applying AI in real-world scenarios, and the implications of AI on society, including concerns about value alignment and existential threats. He emphasizes the potential for AI to enhance decision-making in various fields while noting the importance of continuing to test ideas in practical applications
Topics
AI
Game Theory
Poker
Lebratus
Machine Learning
Decision-Making
AI Safety
Research
Strategy
AI Applications