Monte Carlo tree search

Dec-MCTS: Decentralized planning for multi-robot active perception

Graeme Best, Oliver M. Cliff, Timothy Patten, Ramgopal R. Mettu, Robert Fitch

Citations: 186 • 2018

Thinking Fast and Slow with Deep Learning and Tree Search

Thomas Anthony, David Barber

Citations: 139 • 2017

Thinking Fast and Slow with Deep Learning and Tree Search

Thomas Anthony, Tian Zheng, David Barber

Citations: 84 • 2017

Distributed Deep Reinforcement Learning for Fighting Forest Fires with a Network of Aerial Robots

Ravi N. Haksar, Mac Schwager

Citations: 78 • 2018

Optimisation based path planning for car parking in narrow environments

Patrik Zips, Martin Böck, Andreas Kugi

Citations: 73 • 2016

Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement\n Planning

Yann Labbé, Sergey Zagoruyko, Igor Kalevatykh, Ivan Laptev, Justin Carpentier, Mathieu Aubry, Josef Šivic

Citations: 73 • 2019

Planning-Aware Communication for Decentralised Multi-Robot Coordination

Graeme Best, Michael Forrai, Ramgopal R. Mettu, Robert Fitch

Citations: 56 • 2018

Sequential Bayesian optimization as a POMDP for environment monitoring with UAVs

Philippe Morere, Román Marchant, Fábio Ramos

Citations: 54 • 2017

Sequential Bayesian optimisation for spatial-temporal monitoring

Román Marchant, Fábio Ramos, Scott Sanner

Citations: 53 • 2014

Bayesian Reinforcement Learning for Multi-Robot Decentralized Patrolling in Uncertain Environments

Xin Zhou, Weiping Wang, Tao Wang, Yonglin Lei, Fangcheng Zhong

Citations: 52 • 2019

Multi-Object Rearrangement with Monte Carlo Tree Search: A Case Study on Planar Nonprehensile Sorting

Haoran Song, Joshua A. Haustein, Weihao Yuan, Kaiyu Hang, Michael Yu Wang, Danica Kragić, Johannes A. Stork

Citations: 51 • 2020

Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning

Weizhe Chen, Lantao Liu

Citations: 50 • 2019

Randomized Belief-Space Replanning in Partially-Observable Continuous Spaces

Kris Hauser

Citations: 46 • 2010

Information-Guided Robotic Maximum Seek-and-Sample in Partially Observable Continuous Environments

Citations: 41 • 2019

Hierarchical Decision Theoretic Planning for Navigation Among Movable Obstacles

Martin Levihn, Jonathan Scholz, Mike Stilman

Citations: 39 • 2013

Decentralised Monte Carlo Tree Search for Active Perception

Graeme Best, Oliver M. Cliff, Timothy Patten, Ramgopal R. Mettu, Robert Fitch

Citations: 34 • 2020

Monte Carlo Tree Search for Multi-Robot Task Allocation

Bilal Kartal, Ernesto Nunes, Julio Godoy, Maria Gini

Citations: 33 • 2016

Where to Look Next: Learning Viewpoint Recommendations for Informative Trajectory Planning

Max Lodel, Bruno Brito, Álvaro Serra-Gómez, Laura Ferranti, Robert Babuška, Javier Alonso–Mora

Citations: 33 • 2022

Stochastic Tree Search with Useful Cycles for patrolling problems

Bilal Kartal, Julio Godoy, Ioannis Karamouzas, Stephen J. Guy

Citations: 30 • 2015

Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds

Beomjoon Kim, Kyungjae Lee, Sungbin Lim, Leslie Pack Kaelbling, Tomás Lozano‐Pérez

Citations: 29 • 2020