incremental-learning-1.md

Reinforcement Learning

1. Vidhya on Getting ready for AI based gaming agents – Overview of Open Source Reinforcement Learning Platforms
2. Vidhya on Simple Beginner’s guide to Reinforcement Learning & its implementation
3. 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
   1. 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.

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\

RLHF

1. illustrated RLHF by Huggingface