Markov decision process

Point-based value iteration: an anytime algorithm for POMDPs

Joëlle Pineau, Geoff Gordon, Sebastian Thrun

Citations: 934 • 2003

Reinforcement learning for robots using neural networks

Long-Ji Lin

Citations: 887 • 1992

SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces

Hanna Kurniawati, David Hsu, Wee Sun Lee

Citations: 782 • 2008

Learning to Track: Online Multi-object Tracking by Decision Making

Xiang Yu, Alexandre Alahi, Silvio Savarese

Citations: 716 • 2015

Learning policies for partially observable environments: Scaling up

Michael L. Littman, Anthony R. Cassandra, Leslie Pack Kaelbling

Citations: 662 • 1995

Acting under uncertainty: discrete Bayesian models for mobile-robot navigation

Anthony R. Cassandra, Leslie Pack Kaelbling, James Kurien

Citations: 468 • 2002

Anytime Point-Based Approximations for Large POMDPs

Joëlle Pineau, Geoff Gordon, Sebastian Thrun

Citations: 373 • 2006

Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving

Shai Shalev‐Shwartz, Shaked Shammah, Amnon Shashua

Citations: 367 • 2016

Intention-aware online POMDP planning for autonomous driving in a crowd

Haoyu Bai, Shaojun Cai, Nan Ye, David Hsu, Wee Sun Lee

Citations: 331 • 2015

Motion planning under uncertainty using iterative local optimization in belief space

Jur van den Berg, Sachin Patil, Ron Alterovitz

Citations: 305 • 2012

Autonomous helicopter control using reinforcement learning policy search methods

J. Andrew Bagnell, Jeff Schneider

Citations: 278 • 2002

Finding Approximate POMDP solutions Through Belief Compression

Nicholas Roy, Geoffrey J. Gordon, Sebastian Thrun

Citations: 253 • 2005

Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment

Haoran Li, Qichao Zhang, Dongbin Zhao

Citations: 247 • 2019

Temporal abstraction in reinforcement learning

Doina Precup, Richard S. Sutton

Citations: 247 • 2000

Point-Based Value Iteration for Continuous POMDPs

Josep M. Porta, Nikos Vlassis, Matthijs T. J. Spaan, Pascal Poupart

Citations: 246 • 2006

Parameter-exploring policy gradients

Frank Sehnke, Christian Osendorfer, Thomas Rückstieß, Alex Graves, Jan Peters, Jürgen Schmidhuber

Citations: 245 • 2009

A Gentle Introduction to Reinforcement Learning and its Application in Different Fields

Muddasar Naeem, Syed Tahir Hussain Rizvi, Antonio Coronato

Citations: 241 • 2020

Planning under Uncertainty for Robotic Tasks with Mixed Observability

Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun Lee

Citations: 238 • 2010

The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty

Ron Alterovitz, Thierry Siméon, Ken Goldberg

Citations: 236 • 2007

Planning in the Presence of Cost Functions Controlled by an Adversary

H. Brendan McMahan, Geoffrey J. Gordon, Avrim Blum

Citations: 228 • 2018