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​

Last modified 1mo ago