Reinforcement Learning

Introduction

1. Reinforcement Learning: An Introduction second edition WIP & completed book

2. Vidhya on Getting ready for AI based gaming agents – Overview of Open Source Reinforcement Learning Platforms

3. Vidhya on Simple Beginner’s guide to Reinforcement Learning & its implementation

4. ZipRecruiter on Classifying Job Titles With Noisy Labels Using REINFORCE - Fine-grained job title classification with noisy labels using the REINFORCE algorithm and multi-task learning

   -> this article has a very nice trick in adding a reward component to the loss function in order to mitigate for unbalanced class label problem, instead of the usual balancing.

5. David Silver - Home Page - 1 2 3 4 5 6 7 8 9 10

6. Sequential Decision Analytics and Modeling book

Q-LEARN

• Markov chain problem, (state, action, new state, reward)

• Lots of Exploration in the beginning, then exploitation

• Returns optimal policy.

• Refer to youtube here

Deep Learning

1. A review paper about RL in DL

2. deep Q-learning

3. Pytorch

   1. DQN

   2. PPO

   3. Mario example

RLHF

1. illustrated RLHF by Huggingface