reinforcement_learning_an_introduction
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20 hours ago •
Curt-Park
Curt-Park
Summary (in Korean) and python implementation of 'Reinforcement Learning: An Introduction' written by Sutton & Barto
reinforcement_learning_an_introduction
Summary (in Korean) and python implementation of 'Reinforcement Learning: An Introduction' written by Sutton & Barto.
1. Introduction
- 1.1 Reinforcement Learning
- 1.2 Examples
- 1.3 Elements of Reinforcement Learning
- 1.4 Limitations and Scope
- 1.5 An Extended Example: Tic-Tac-Toe
2. Multi-armed bandits
- 2.1 k-armed bandit problem
- 2.2 Action-value Methods
- 2.3 The 10-armed Testbed
- 2.4 Incremental Implementation
- 2.5 Tracking a Nonstationary Problem
- 2.6 Optimistic Initial Values
- 2.7 Upper-Confidence-Bound Action Selection
- 2.8 Gradient Bandit Algorithms
- 2.9 Associative Search (Contextual Bandits)
Curt-Park