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Stochastic policies
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Classroom Contents
2019 ADSI Summer Workshop- Algorithmic Foundations of Learning and Control
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- 1 Introduction
- 2 Balancing
- 3 Outline
- 4 Deep Exploration
- 5 Large Theory
- 6 Linear sanity checking
- 7 The problem
- 8 Stochastic policies
- 9 Algorithm template
- 10 greedy
- 11 Thompson sampling
- 12 Does it work
- 13 One algorithmic idea
- 14 Intuition
- 15 Theory
- 16 Shortest Path
- 17 episodic reinforcement learning
- 18 modelbased tabular learning
- 19 scalable approximations
- 20 value function approximations
- 21 the real challenge
- 22 deep questions
