Reading List

Starting points for exploring reinforcement learning and language model post-training.

Reinforcement Learning: An Introduction Richard S. Sutton & Andrew G. Barto
The foundations: rewards, value functions, policy gradients, and learning through interaction.
Spinning Up in Deep RL OpenAI
A practical introduction to deep reinforcement learning, with algorithm explanations and implementations.
The RLHF Book Nathan Lambert
A guide to reinforcement learning from human feedback and language model post-training.