234 citations · 234 across the 2 of their papers we have counts for
2 papers
cs.AI2013★ 234 cited
Model-Based Bayesian Exploration
Richard Dearden, Nir Friedman, David Andre
Reinforcement learning systems are often concerned with balancing exploration of untested actions against exploitation of actions that are known to be good. The benefit of explorat…
cs.LG2012
A compact, hierarchical Q-function decomposition
Bhaskara Marthi, Stuart Russell, David Andre
Previous work in hierarchical reinforcement learning has faced a dilemma: either ignore the values of different possible exit states from a subroutine, thereby risking suboptimal b…