Course content
- Introduction
- Fundamentals of Reinforcement Learning
- Deep Learning Crash Course
- Human Level Control Through Deep Reinforcement Learning: From Paper to Code
- Deep Reinforcement Learning with Double Q Learning
- Dueling Network Architectures for Deep Reinforcement Learning
- Improving On Our Solutions
- Conclusion
- Bonus Lecture
- Tensorflow 2 Implementations
- Appendix