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Intro to Artificial Intelligence - RL Monte Carlo Methods - Lecture 17

Offered By: Dave Churchill via YouTube

Tags

Reinforcement Learning Courses Artificial Intelligence Courses Machine Learning Courses Game Theory Courses Markov Decision Processes Courses Monte Carlo Methods Courses Stochastic Processes Courses

Course Description

Overview

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Explore reinforcement learning Monte Carlo methods in this 53-minute lecture from Memorial University's Computer Science 3200 course on Artificial Intelligence. Delve into algorithmic techniques and data structures used in modern problem-solving environments, with a focus on their application to simple games. Led by Professor David Churchill, this Fall 2023 session is part of a comprehensive introduction to AI, covering key concepts and practical implementations. While course assignments are not publicly available, gain valuable insights into the fundamentals of Monte Carlo methods in reinforcement learning and their role in AI problem-solving strategies.

Syllabus

COMP3200 - Intro to Artificial Intelligence - Lecture 17 - RL Monte Carlo Methods


Taught by

Dave Churchill

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