Repositorio para almacenear el material e información para el workshop práctico de reinforcement learning (Guatemala, 2020).
- Sesion 1 (20 febrero 2020) :
- Libro de referencia oficial (Gratuito) : Reinforcement Learning: An Introduction,Sutton and Barto
- Diapositivas (David Silver ,UCL y DeepMind)
- Lecture 1: Introduction to Reinforcement Learning
- Lecture 2: Markov Decision Processes
- Lecture 3: Planning by Dynamic Programming
- Lecture 4: Model-Free Prediction
- Lecture 5: Model-Free Control
- Lecture 6: Value Function Approximation
- Lecture 7: Policy Gradient Methods
- Lecture 8: Integrating Learning and Planning
- Lecture 9: Exploration and Exploitation
- Lecture 10: Case Study: RL in Classic Games