Reinforcement Learning Task Clustering

Authors

James Carroll, Brigham Young University
Todd Peterson, Brigham Young University

Keywords

reinforcement learning, task clustering, Q-learning

College

Physical and Mathematical Sciences

Department

Computer Science

Abstract

Reinforcement Learning is a process whereby actions are acquired using reinforcement signals. A signal is given to an autonomous agent indicating how well that agent is performing an action. The agent then attempts to maximize this reinforcement signal. One common method in reinforcement learning is Q-learning where the agent attempts to learn the expected temporally discounted value function for performing an action a in a state s Q(s,a). This function is updated according to:

Recommended Citation

Carroll, James and Peterson, Todd (2014) "Reinforcement Learning Task Clustering," Journal of Undergraduate Research: Vol. 2014: Iss. 1, Article 1195.
Available at: https://scholarsarchive.byu.edu/jur/vol2014/iss1/1195