Publication
Performance Evaluation Review
Paper

Markov Decision Process Framework for Control-Based Reinforcement Learning

View publication

Abstract

For many years, reinforcement learning (RL) has proven to be very successful in solving a wide variety of learning and decision making under uncertainty (DMuU) problems, including those related to game playing and robotic control. Many different RL approaches, with varying levels of success, have been developed to address these problems.

Date

Publication

Performance Evaluation Review

Authors

Share