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In the adaptive information gathering problem, a policy is required to select an informative sensing location using the history of measurements acquired thus far.
A recursive greedy algorithm for walks in directed graphs
Chandra Chekuri and Martin Pal · 2005
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Policy gradient methods for robotics
Jan Peters and Stefan Schaal · 2006
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Near-optimal Observation Selection Using Submodular Functions
Andreas Krause and Carlos Guestrin · 2007
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Efficient Planning of Informative Paths for Multiple Robots
Amarjeet Singh, Andreas Krause, Carlos Guestrin, William Kaiser, and Maxim Batalin · 2007
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Efficient sensor placement optimization for securing large water distribution networks
Andreas Krause, Jure Leskovec, Carlos Guestrin, Jeanne VanBriesen, and Christos Faloutsos · 2008
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Online planning algorithms for POMDPs
Stéphane Ross, Joelle Pineau, Sébastien Paquet, and Brahim Chaib-Draa · 2008
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Nonmyopic Adaptive Informative Path Planning for Multiple Robots
Amarjeet Singh, Andreas Krause, and William J. Kaiser · 2009
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Near-optimal bayesian active learning with noisy observations
Daniel Golovin, Andreas Krause, and Debajyoti Ray · 2010
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Approximation algorithms for optimal decision trees and adaptive TSP problems
Anupam Gupta, Viswanath Nagarajan, and R Ravi · 2010
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Efficient Reductions for Imitation Learning
Stéphane Ross and Drew Bagnell · 2010
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Monte-Carlo planning in large POMDPs
David Silver and Joel Veness · 2010
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Adaptive submodularity: Theory and applications in active learning and stochastic optimization
Daniel Golovin and Andreas Krause · 2011
Cited alongside, same era.
Active classification: Theory and application to underwater inspection
Geoffrey A Hollinger, Urbashi Mitra, and Gaurav S Sukhatme · 2011
Cited alongside, same era.
Active planning for underwater inspection and the benefit of adaptivity
Geoffrey A Hollinger, Brendan Englot, Franz S Hover, Urbashi Mitra, and Gaurav S Sukhatme · 2012
Cited alongside, same era.
Submodular function maximization
Andreas Krause and Daniel Golovin · 2012
Cited alongside, same era.
A Benchmark for the Evaluation of RGB-D SLAM Systems
J. Sturm, N. Engelhard, F. Endres, W. Burgard, and D. Cremers · 2012
Cited alongside, same era.
Reinforcement and imitation learning via interactive no-regret learning
Stephane Ross and J Andrew Bagnell · 2014
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Correlated orienteering problem and its application to informative path planning for persistent monitoring tasks
Jingjin Yu, Mac Schwager, and Daniela Rus · 2014
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Information-Theoretic Planning with Trajectory Optimization for Dense 3D Mapping
Benjamin Charrow, Gregory Kahn, Sachin Patil, Sikang Liu, Ken Goldberg, Pieter Abbeel, Nathan Michael, and Vijay Kumar · 2015
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Submodular Surrogates for Value of Information
Yuxin Chen, Shervin Javdani, Amin Karbasi, J. Bagnell, Siddhartha Srinivasa, and Andreas Krause · 2015
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Efficient visual exploration and coverage with a micro aerial vehicle in unknown environments
Lionel Heng, Alkis Gotovos, Andreas Krause, and Marc Pollefeys · 2015
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Sampling-based Motion Planning for Robotic Information Gathering
Geoffrey A Hollinger and Gaurav S Sukhatme · 2013
Cited alongside, same era.
Submodular optimization with submodular cover and submodular knapsack constraints
Rishabh K Iyer and Jeff A Bilmes · 2013
Cited alongside, same era.
Efficient Touch Based Localization through Submodularity
Shervin Javdani, Matthew Klingensmith, J. Andrew Bagnell, Nancy Pollard, and Siddhartha Srinivasa · 2013
Cited alongside, same era.
DESPOT: Online POMDP planning with regularization
Adhiraj Somani, Nan Ye, David Hsu, and Wee Sun Lee · 2013
Cited alongside, same era.
Near Optimal Bayesian Active Learning for Decision Making
Shervin Javdani, Yuxin Chen, Amin Karbasi, Andreas Krause, J. Andrew Bagnell, and Siddhartha Srinivasa · 2014
Cited alongside, same era.
Pre- and Post-Contact Policy Decomposition for Planar Contact Manipulation Under Uncertainty
Michael Koval, Nancy Pollard, and Siddhartha Srinivasa · 2014
Cited alongside, same era.
POMDP-lite for Robust Robot Planning under Uncertainty
Min Chen, Emilio Frazzoli, David Hsu, and Wee Sun Lee
Cited in the paper.
Adaptive Stochastic Optimization: From Sets to Paths
Zhan Wei Lim, David Hsu, and Wee Sun Lee · 2015
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Learning to Gather Information via Imitation
Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, and Debadeepta Dey · 2016
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An Information Gain Formulation for Active Volumetric 3D Reconstruction
Stefan Isler, Reza Sabzevari, Jeffrey Delmerico, and Davide Scaramuzza · 2016
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PLATO: Policy Learning using Adaptive Trajectory Optimization
Gregory Kahn, Tianhao Zhang, Sergey Levine, and Pieter Abbeel · 2016
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Adaptive informative path planning in metric spaces
Zhan Wei Lim, David Hsu, and Wee Sun Lee · 2016
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Submodular Optimization with Routing Constraints , 2016
Haifeng Zhang and Yevgeniy Vorobeychik · 2016
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