Reinforcement Learning | UCL Course by David Silver from DeepMind

Comprehensive introduction to reinforcement learning, covering Markov decision processes, dynamic programming, and more. Taught by leading expert David Silver from DeepMind.

Introduction

This course provides an in-depth introduction to reinforcement learning, covering topics such as Markov decision processes, dynamic programming, model-free prediction and control, value function approximation, policy gradient methods, and the integration of learning and planning. The course is taught by David Silver, a leading expert in the field of reinforcement learning and a researcher at DeepMind.

Highlights

• Comprehensive coverage of fundamental reinforcement learning concepts and algorithms
• Lectures delivered by a renowned expert in the field, David Silver from DeepMind
• Detailed lecture slides and video recordings available for self-paced learning
• Hands-on assignment on the "Easy21" reinforcement learning problem
• Access to previous exam questions and answers for better preparation

Recommendation

This course is highly recommended for anyone interested in reinforcement learning, whether you are a student, a researcher, or a practitioner in the field of artificial intelligence and machine learning. The course provides a solid foundation in reinforcement learning and covers the latest advancements in the field, making it a valuable resource for both beginners and experienced learners.