Monte Carlo Tree Search
heuristic search algorithm based on random sampling
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Videos Mentioning Monte Carlo Tree Search
![[LLM Paper Club] Llama 3.1 Paper: The Llama Family of Models](https://i.ytimg.com/vi/TgLSYIBoX5U/maxresdefault.jpg)
[LLM Paper Club] Llama 3.1 Paper: The Llama Family of Models
Latent Space
A technique used in conjunction with stepwise reward models to improve reasoning traces in large language models.
AI Won't Be AGI, Until It Can At Least Do This (plus 6 key ways LLMs are being upgraded)
AI Explained
David Silver: AlphaGo, AlphaZero, and Deep Reinforcement Learning | Lex Fridman Podcast #86
Lex Fridman
A heuristic search algorithm for some decision processes, used in games and AI, that evaluates positions by simulating random playouts.
Marcus Hutter: Universal Artificial Intelligence, AIXI, and AGI | Lex Fridman Podcast #75
Lex Fridman
A heuristic search algorithm for decision processes, often used in game AI, which provides an approximation for the planning part of AIXI.
Demis Hassabis: Future of AI, Simulating Reality, Physics and Video Games | Lex Fridman Podcast #475
Lex Fridman
A search algorithm used in AI, notably in AlphaGo to find novel strategies like 'move 37', and envisioned for use in hybrid systems with LLMs.
MIT 6.S094: Deep Reinforcement Learning
Lex Fridman
A heuristic search algorithm used for decision-making in game playing and other domains, particularly effective in large state spaces.
Noam Brown: AI vs Humans in Poker and Games of Strategic Negotiation | Lex Fridman Podcast #344
Lex Fridman
A type of search algorithm crucial for game AIs like AlphaGo, involving simulating games to evaluate moves, but noted as less effective for imperfect information games like poker.