A formal framework for robot learning and control under model uncertainty

Reinforcement Learning: An Introduction

2005 • 27,230 citations

Planning and acting in partially observable stochastic domains

1998 • 3,984 citations

Reinforcement Learning

1998 • 3,070 citations

Active Learning with Statistical Models

1996 • 1,138 citations

Point-based value iteration: an anytime algorithm for POMDPs

2003 • 947 citations

Learning policies for partially observable environments: Scaling up

1995 • 661 citations

Perspectives on standardization in mobile robot progranuning : the carnegie mellon navigation (carmen) toolkit

2004 • 335 citations

Reinforcement learning with perceptual aliasing: the perceptual distinctions approach

1992 • 323 citations

Model based Bayesian exploration

1999 • 241 citations

Learning topological maps with weak local odometric information

1997 • 168 citations

A point-based POMDP algorithm for robot planning

2004 • 134 citations

Active Learning in Partially Observable Markov Decision Processes

2005 • 74 citations

POMDP Planning for Robust Robot Control

2007 • 46 citations