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Problem definition (RL setting)
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Classroom Contents
Deep Reinforcement Learning for Object Tracking
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- 1 Intro
- 2 Different types of learning
- 3 Deep learning in a nutshell
- 4 Reinforcement learning in a nutshell
- 5 Policy
- 6 Value function A value function is a prediction of future reward
- 7 Approaches To Reinforcement Learning
- 8 Motivation
- 9 Action-driven object tracking
- 10 Problem definition (RL setting)
- 11 Action-decision network
- 12 Training: Supervised learning
- 13 Training: Reinforcement learning
- 14 Training: Online adaptation
- 15 Self comparison
