Tags / rl

Introduction to Reinforcement Learning

Reinforcement Learning (RL) has been a hot research area in the past two decades. It refers to the learning paradigm that an intelligent agent learns the optimal policy to take actions by interacting with the environments. In this post, I have summarized some basics of RL and provides an overview of classical approaches to RL.


Introduction to MDP

Brief introduction to Markov decision processes.