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Intro
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Classroom Contents
The Challenges of Model-Based Reinforcement Learning and How to Overcome Them - Csaba Szepesvári
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- 1 Intro
- 2 Premise
- 3 Collaborators
- 4 Context
- 5 Markov Decision Processes
- 6 Environment
- 7 Simulation
- 8 Experience
- 9 Online reinforcement learning
- 10 Reinforcement learning and neural networks
- 11 Questions
- 12 Example
- 13 Benefits
- 14 Reality check
- 15 Challenges
- 16 Modeling errors
- 17 Question
- 18 Efficient planning
- 19 Defining things
- 20 Expected reward
- 21 The curse of dimensions
- 22 Computing the optimal policy
- 23 Planning
- 24 Function Approximation
