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Andrey Kolobov
Andrey Kolobov
Microsoft Research
Verified email at microsoft.com
Title
Cited by
Cited by
Year
BLOG: Probabilistic Models with Unknown Objects
B Milch, B Marthi, S Russell, D Sontag, DL Ong, A Kolobov
Statistical relational learning, 373, 2007
6152007
Parallel task routing for crowdsourcing
J Bragg, A Kolobov, M Mausam, D Weld
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 2 …, 2014
218*2014
Planning with Markov decision processes: An AI perspective
Mausam, A Kolobov
Synthesis Lectures on Artificial Intelligence and Machine Learning 6 (1), 1-210, 2012
199*2012
Introduction to statistical relational learning
D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ...
MIT press, 2007
1762007
Interactive teaching strategies for agent training
O Amir, E Kamar, A Kolobov, B Grosz
IJCAI 2016, 2016
1442016
Open x-embodiment: Robotic learning datasets and rt-x models
A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ...
arXiv preprint arXiv:2310.08864, 2023
1322023
Heuristic search for generalized stochastic shortest path MDPs
A Kolobov, Mausam, DS Weld, H Geffner
Twenty-First International Conference on Automated Planning and Scheduling, 2011
107*2011
A Theory of Goal-Oriented MDPs with Dead Ends
A Kolobov, Mausam, DS Weld
UAI, 2012
99*2012
Safe reinforcement learning via curriculum induction
M Turchetta, A Kolobov, S Shah, A Krause, A Agarwal
Advances in Neural Information Processing Systems 33, 12151-12162, 2020
972020
LRTDP vs. UCT for Online Probabilistic Planning
A Kolobov, Mausam, DS Weld
Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
75*2012
Approximate inference for infinite contingent Bayesian networks
B Milch, B Marthi, D Sontag, S Russell, DL Ong, A Kolobov
AISTATS, 2005
722005
Reverse Iterative Deepening for Finite-Horizon MDPs with Large Branching Factors
A Kolobov, P Dai, Mausam, DS Weld
Proceedings of the 22nd International Conference on Automated Planning and …, 2012
53*2012
Heuristic-guided reinforcement learning
CA Cheng, A Kolobov, A Swaminathan
Advances in Neural Information Processing Systems 34, 13550-13563, 2021
492021
Metareasoning for planning under uncertainty
CH Lin, A Kolobov, E Kamar, E Horvitz
arXiv preprint arXiv:1505.00399, 2015
432015
ReTrASE: Integrating paradigms for approximate probabilistic planning
A Kolobov, Mausam, DS Weld
Twenty-First International Joint Conference on Artificial Intelligence, 1746 …, 2009
432009
SixthSense: Fast and reliable recognition of dead ends in MDPs
A Kolobov, Mausam, DS Weld
Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
37*2010
Classical Planning in MDP Heuristics: With a Little Help from Generalization
A Kolobov, Mausam, DS Weld
Twentieth International Conference on Automated Planning and Scheduling, 97-104, 2010
35*2010
TODTLER: Two-order-deep transfer learning
J Van Haaren, A Kolobov, J Davis
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
332015
Policy improvement via imitation of multiple oracles
CA Cheng, A Kolobov, A Agarwal
Advances in Neural Information Processing Systems 33, 5587-5598, 2020
28*2020
Discovering hidden structure in factored MDPs
A Kolobov, Mausam, DS Weld
Artificial Intelligence 189, 19-47, 2012
28*2012
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