Monte Carlo Tree Search Courses and Certifications

GGP Course Videos

Comprehensive video series on General Game Playing, covering game description, management, playing strategies, and advanced topics like heuristic search and Monte Carlo methods.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Online Course

Aleksa Gordić - The AI Epiphany

AlphaGo - Mastering the Game of Go with Deep Neural Networks and Tree Search - RL Paper Explained

Comprehensive exploration of AlphaGo's groundbreaking AI system, detailing its neural networks, search algorithms, and innovative techniques that led to defeating professional Go players.

• YouTube
• 51 minutes
• On-Demand
• Free Online Course

Churchill CompSci Talks

How Slot Machines Are Advancing the State of the Art in Computer Go AI

Explore Monte Carlo Tree Search in computer Go AI, covering its advantages, UCB1 strategy, and recent refinements like AMAF/RAVE, with insights into ongoing research topics.

• YouTube
• 46 minutes
• On-Demand
• Free Online Course

Graham Neubig

CMU Neural Nets for NLP 2017 - Advanced Search Algorithms

Explore advanced search algorithms for NLP, including beam search and A*-type search, with a focus on their applications, benefits, and challenges in neural network-based language processing.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Online Course

Graham Neubig

Neural Nets for NLP 2019 - Advanced Search Algorithms

Explore advanced search algorithms for NLP, including beam search, A* search, and search with future costs. Learn techniques to improve efficiency and effectiveness in natural language processing tasks.

• YouTube
• 59 minutes
• On-Demand
• Free Online Course

Devoxx

From Tic Tac Toe to AlphaGo - Playing Games with AI and Machine Learning

Explore AI's evolution from simple games to complex challenges like Go, delving into algorithms, neural networks, and breakthroughs that led to AlphaGo's triumph over human champions.

• YouTube
• 50 minutes
• On-Demand
• Conference Talk

MLCon | Machine Learning Conference

How do Chess Engines Work - Looking at Stockfish and AlphaZero

Explore chess AI evolution: from Deep Blue's algorithms to Stockfish's Minimax, and AlphaZero's revolutionary self-learning approach using Monte Carlo Tree Search and neural networks.

• YouTube
• 1 hour
• On-Demand
• Conference Talk

ACCU Conference

Total War - How AI Can Deliver Entertainment

Explore AI techniques in Total War games, focusing on Monte Carlo Tree Search, profiling, and optimization for complex strategy environments with limited resources.

• YouTube
• 1 hour 18 minutes
• On-Demand
• Conference Talk

Adversarial Search

Learn how to search in multi-agent environments (including decision making in competitive environments) using the minimax theorem from game theory. Then build an agent that can play games better than any human.

• Udacity
• 1 week, 5-6 hours a week
• On-Demand
• Paid Course

Sebastian Lague

Chess Programming Tournament Results and Analysis

Explore the fascinating world of chess programming as Sebastian Lague hosts a tournament, showcasing innovative bots, creative coding techniques, and thrilling matches.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Online Course