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lynda Reinforcement Learning Foundations

Video Introducing this tutorial

Introduction :
Reinforcement learning in a nutshell

1. Getting Started with Reinforcement Learning :
Terms in reinforcement learning
A basic RL problem
Markov decision process
A basic RL solution

2. Reinforcement Learning Algorithms :
Monte Carlo method
Temporal difference methods
Other RL algorithms

3. Monte Carlo Method :
The setting
Exploration and exploitation
Monte Carlo prediction
First visit and every visit MC prediction
Monte Carlo control
Additional modifications

4. Temporal Difference Methods :
The setting
SARSAMAX (Q-learning)
Expected SARSA

5. Modified Forms of Reinforcement :
Deep reinforcement learning
Multi-agent reinforcement learning
Inverse reinforcement learning

Conclusion :
Your reinforcement learning journey