Reinforcement Learning

Overview

Learn decisions through interaction, rewards, and feedback.

20 ordered sections · 0 published articles in this topic

This collection grows section by section. Concepts describe the intended coverage; related reading may introduce only part of a section.

Section 01 of 20

Start Here

Follow the numbered sections in order, or choose the subject you need. Published articles are linked where they support the section.

Section 02 of 20

Agent & environment

Section 03 of 20

State

Section 04 of 20

Action

Section 05 of 20

Reward

Section 06 of 20

MDPs

Section 07 of 20

Value functions

Section 08 of 20

Q-learning

Section 09 of 20

SARSA

Section 10 of 20

Deep Q Networks

Section 11 of 20

Policy gradients

Section 12 of 20

Actor-Critic

Section 13 of 20

PPO

Section 14 of 20

Reward modeling

Section 15 of 20

RLHF

Section 16 of 20

DPO

Section 17 of 20

GRPO

Section 18 of 20

Offline RL

Section 19 of 20

Multi-agent RL

Section 20 of 20

RL for agents