Deep Reinforcement Learning
Module 1
RL Foundations
Agents, environments, policies, value functions, and the mathematical landscape of modern RL algorithms.
Readings
1
Before You Start: Prerequisites & Learning Path
8 min
2
RL Fundamentals: Agents, Environments, and Policies
12 min
3
Return, Value Functions & Bellman Equations
14 min
4
The RL Algorithm Landscape
10 min
5
Policy Gradient Theory
15 min
Quizzes