Reinforcement learning

Master the mechanics of Reinforcement Learning, from foundational MDPs to modern RLHF and DPO. These articles provide the blueprints for building reliable RL systems and aligning large language models to bridge the gap between exploration and production performance.

What is RLHF? Reinforcement learning from human feedback for AI alignment

This article explains how reinforcement learning from human feedback (RLHF) is used to train language models that better reflect human preferences, including practical steps and evaluation techniques.
9 mins read

Reinforcement learning: A guide to AI’s interactive learning paradigm

On this page What is reinforcement learning? The goal Online vs offline RL Taxonomy Core methods Benchmarks, metrics, and frameworks Advances and trends Successful applications…
27 mins read