Delayed reinforcement learning is an attractive framework for the unsupervised learning of action policies for autonomous agents. Some existing delayed reinforcement learning te...
This paper surveys the field of reinforcement learning from a computer-science perspective. It is written to be accessible to researchers familiar with machine learning. Both th...
In this paper, we describe the partially observable Markov decision process (pomdp) approach to finding optimal or near-optimal control strategies for partially observable stoch...
h-index: Number of publications with at least h citations each.