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Deep Reinforcement Learning
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Classroom Contents
Game Theoretic Learning and Spectrum Management - Part 2
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- 1 Game Theoretic Learning
- 2 Single Player Multiarm Bandit
- 3 Motivation to Multiarm
- 4 stochastic map formulation
- 5 sublinear regret
- 6 ucb1
- 7 epsilon and greedy
- 8 markovian reward
- 9 restless map
- 10 goal notation
- 11 regret minimization
- 12 Adaptive Sequential Algorithms
- 13 Exploration Network Structure
- 14 Exploitation Networks
- 15 Simulations
- 16 Reinforcement Learning
- 17 Deep Reinforcement Learning
- 18 The Problem
- 19 The Algorithm
- 20 Single Agent Learning
- 21 Exploration Phase A
