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Neural Nets for NLP 2019 - Reinforcement Learning
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- 1 Intro
- 2 What is Reinforcement Learning?
- 3 Why Reinforcement Learning in NLP?
- 4 Supervised Learning
- 5 Self Training
- 6 Policy Gradient/REINFORCE
- 7 Credit Assignment for Rewards
- 8 Problems w/ Reinforcement Learning
- 9 Adding a Baseline
- 10 Calculating Baselines
- 11 Increasing Batch Size
- 12 When to Use Reinforcement Learning?
- 13 Policy-based vs. Value-based
- 14 Action-Value Function . Given a states we try to estimate the value of each action a
- 15 Estimating Value Functions
- 16 Exploration vs. Exploitation
- 17 RL in Dialog
- 18 RL for Information Retrieval
