Reinforcement Learning (David Silver)

Advanced Computer Science by The Agent Whisperer. 10 lectures, 16.4 hours. Covers: reinforcement learning markov decision process q-learning policy gradient.

Lectures

1. RL Course by David Silver - Lecture 1: Introduction to Reinforcement Learning · 1 h 28 min
2. RL Course by David Silver - Lecture 2: Markov Decision Process · 1 h 42 min
3. RL Course by David Silver - Lecture 3: Planning by Dynamic Programming · 1 h 39 min
4. RL Course by David Silver - Lecture 4: Model-Free Prediction · 1 h 37 min
5. RL Course by David Silver - Lecture 5: Model Free Control · 1 h 37 min
6. RL Course by David Silver - Lecture 6: Value Function Approximation · 1 h 37 min
7. RL Course by David Silver - Lecture 7: Policy Gradient Methods · 1 h 34 min
8. RL Course by David Silver - Lecture 8: Integrating Learning and Planning · 1 h 40 min
9. RL Course by David Silver - Lecture 9: Exploration and Exploitation · 1 h 39 min
10. RL Course by David Silver - Lecture 10: Classic Games · 1 h 51 min

Quick explainers

• Reinforcement Learning: Crash Course AI #9 · 11 min
• Reinforcement Learning from scratch · 8 min
• Reinforcement Learning Explained in 90 Seconds | Synopsys​ · 2 min
• Reinforcement Learning: Essential Concepts · 18 min
• Reinforcement learning is terrible – Andrej Karpathy · 4 min
• Reinforcement Learning - Computerphile · 15 min
• Reinforcement Learning from Human Feedback (RLHF) Explained · 11 min
• Reinforcement Learning, by the Book · 18 min
• Reinforcement Learning with Neural Networks: Essential Concepts · 24 min
• Reinforcement Learning Series: Overview of Methods · 22 min

All courses