Completed
Deep Reinforcement Learning Summary
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
MIT: Reinforcement Learning
Automatically move to the next video in the Classroom when playback concludes
- 1 Intro
- 2 Learning in Dynamic Environments
- 3 Classes of Learning Problems
- 4 Reinforcement Learning (RL): Key Concepts
- 5 Defining the Q-function
- 6 Deep Reinforcement Learning Algorithms
- 7 Digging deeper into the Q-function
- 8 Deep Q Network Summary
- 9 Downsides of Q-learning
- 10 Discrete vs Continuous Action Spaces
- 11 Policy Gradient (PG): Key Idea
- 12 Training Policy Gradients: Case Study
- 13 Reinforcement Learning in Real Life
- 14 Reinforcement Learning and the Game of Go
- 15 Deep Reinforcement Learning Summary
