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.

  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

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