Markov chain

Monte Carlo localization: efficient position estimation for mobile robots

Dieter Fox, Wolfram Burgard, Frank Dellaert, Sebastian Thrun

Citations: 1073 • 1999

Markov Localization for Mobile Robots in Dynamic Environments

D. Fox, Wolfram Burgard, Sebastian Thrun

Citations: 909 • 1999

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

Hanna Kurniawati, David Hsu, Wee Sun Lee

Citations: 782 • 2008

Learning policies for partially observable environments: Scaling up

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

Citations: 662 • 1995

Unstructured human activity detection from RGBD images

Jaeyong Sung, Colin Ponce, Bart Selman, Ashutosh Saxena

Citations: 528 • 2012

Continuous-Time Markov Jump Linear Systems

O.L.V. Costa, Marcelo D. Fragoso, Marcos G. Todorov

Citations: 496 • 2012

Probabilistic robot navigation in partially observable environments

Reid Simmons, Sven Koenig

Citations: 488 • 1995

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

Anthony R. Cassandra, Leslie Pack Kaelbling, James Kurien

Citations: 468 • 2002

Active Markov localization for mobile robots

Dieter Fox, Wolfram Burgard, Sebastian Thrun

Citations: 431 • 1998

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

Markov Logic: An Interface Layer for Artificial Intelligence

Pedro Domingos, Daniel Lowd

Citations: 320 • 2009

A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery

Narges Ahmidi, Lingling Tao, Shahin Sefati, Yixin Gao, Colin Lea, Benjamı́n Béjar, Luca Zappella, Sanjeev Khudanpur, Renè Vidal, Gregory D. Hager

Citations: 288 • 2017

Finding Approximate POMDP solutions Through Belief Compression

Nicholas Roy, Geoffrey J. Gordon, Sebastian Thrun

Citations: 253 • 2005

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

A Bayesian exploration-exploitation approach for optimal online sensing and planning with a visually guided mobile robot

Rubén Martínez-Cantín, Nando de Freitas, Eric Brochu, José A. Castellanos, Randal Douc

Citations: 222 • 2009