Andrey Kolobov

According to our database, Andrey Kolobov authored at least 50 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

The Importance of Directional Feedback for LLM-based Optimizers.

Allen Nie, Ching-An Cheng, Andrey Kolobov, Adith Swaminathan

CoRR, 2024

PRISE: Learning Temporal Action Abstractions as a Sequence Compression Problem.

Ruijie Zheng, Ching-An Cheng, Hal Daumé III, Furong Huang, Andrey Kolobov

CoRR, 2024

WindSeer: Real-time volumetric wind prediction over complex terrain aboard a small UAV.

Florian Achermann, Thomas Stastny, Bogdan Danciu, Andrey Kolobov, Jen Jen Chung, Roland Siegwart, Nicholas R. J. Lawrance

CoRR, 2024

Watching the Air Rise: Learning-Based Single-Frame Schlieren Detection.

Florian Achermann, Julian Andreas Haug, Tobias Zumsteg, Nicholas R. J. Lawrance, Jen Jen Chung, Andrey Kolobov, Roland Siegwart

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control.

Ruijie Zheng, Ching-An Cheng, Hal Daumé III, Furong Huang, Andrey Kolobov

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Improving Offline RL by Blending Heuristics.

Sinong Geng, Aldo Pacchiano, Andrey Kolobov, Ching-An Cheng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Influence of Heat Loss on the Chaotic Dynamics of Reaction Waves in the Model with Chain-Branching Reaction.

Maxim Kuznetsov, Andrey Kolobov, Vladimir Gubernov, Andrey Polezhaev

Int. J. Bifurc. Chaos, September, 2023

LLF-Bench: Benchmark for Interactive Learning from Language Feedback.

Ching-An Cheng, Andrey Kolobov, Dipendra Misra, Allen Nie, Adith Swaminathan

CoRR, 2023

Interactive Robot Learning from Verbal Correction.

Huihan Liu, Alice Chen, Yuke Zhu, Adith Swaminathan, Andrey Kolobov, Ching-An Cheng

CoRR, 2023

PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining.

Garrett Thomas, Ching-An Cheng, Ricky Loynd, Vibhav Vineet, Mihai Jalobeanu, Andrey Kolobov

CoRR, 2023

Survival Instinct in Offline Reinforcement Learning.

Anqi Li, Dipendra Misra, Andrey Kolobov, Ching-An Cheng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exploring Levels of Control for a Navigation Assistant for Blind Travelers.

Vinitha Ranganeni, Mike Sinclair, Eyal Ofek, Amos Miller, Jonathan Campbell, Andrey Kolobov, Edward Cutrell

Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining.

Garrett Thomas, Ching-An Cheng, Ricky Loynd, Felipe Vieira Frujeri, Vibhav Vineet, Mihai Jalobeanu, Andrey Kolobov

Proceedings of the Conference on Robot Learning, 2023

Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control.

Vivek Myers, Andre Wang He, Kuan Fang, Homer Rich Walke, Philippe Hansen-Estruch, Ching-An Cheng, Mihai Jalobeanu, Andrey Kolobov, Anca D. Dragan, Sergey Levine

Proceedings of the Conference on Robot Learning, 2023

2022

The Sandbox Environment for Generalizable Agent Research (SEGAR).

R. Devon Hjelm, Bogdan Mazoure, Florian Golemo, Felipe Frujeri, Mihai Jalobeanu, Andrey Kolobov

CoRR, 2022

MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control.

Nolan Wagener, Andrey Kolobov, Felipe Vieira Frujeri, Ricky Loynd, Ching-An Cheng, Matthew J. Hausknecht

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL.

Bogdan Mazoure, Ahmed M. Ahmed, R. Devon Hjelm, Andrey Kolobov, Patrick MacAlpine

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Heuristic-Guided Reinforcement Learning.

Ching-An Cheng, Andrey Kolobov, Adith Swaminathan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Policy Improvement from Multiple Experts.

Ching-An Cheng, Andrey Kolobov, Alekh Agarwal

CoRR, 2020

Safe Reinforcement Learning via Curriculum Induction.

Matteo Turchetta, Andrey Kolobov, Shital Shah, Andreas Krause, Alekh Agarwal

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark.

Sharada P. Mohanty, Jyotish Poonganam, Adrien Gaidon, Andrey Kolobov, Blake Wulfe, Dipam Chakraborty, Grazvydas Semetulskis, João Schapke, Jonas Kubilius, Jurgis Pasukonis, Linas Klimas, Matthew J. Hausknecht, Patrick MacAlpine, Quang Nhat Tran, Thomas Tumiel, Xiaocheng Tang, Xinwei Chen, Christopher Hesse, Jacob Hilton, William Hebgen Guss, Sahika Genc, John Schulman, Karl Cobbe

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Policy Improvement via Imitation of Multiple Oracles.

Ching-An Cheng, Andrey Kolobov, Alekh Agarwal

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Online Learning for Active Cache Synchronization.

Andrey Kolobov, Sébastien Bubeck, Julian Zimmert

Proceedings of the 37th International Conference on Machine Learning, 2020

MultiPoint: Cross-spectral registration of thermal and optical aerial imagery.

Florian Achermann, Andrey Kolobov, Debadeepta Dey, Timo Hinzmann, Jen Jen Chung, Roland Siegwart, Nicholas R. J. Lawrance

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Optimal Freshness Crawl Under Politeness Constraints.

Andrey Kolobov, Yuval Peres, Eyal Lubetzky, Eric Horvitz

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Staying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling.

Andrey Kolobov, Yuval Peres, Cheng Lu, Eric Horvitz

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Autonomous Thermalling as a Partially Observable Markov Decision Process (Extended Version).

Iain Guilliard, Richard Rogahn, Jim Piavis, Andrey Kolobov

CoRR, 2018

Autonomous Thermalling as a Partially Observable Markov Decision Process.

Iain Guilliard, Richard Rogahn, Jim Piavis, Andrey Kolobov

Proceedings of the Robotics: Science and Systems XIV, 2018

ArduSoar: An Open-Source Thermalling Controller for Resource-Constrained Autopilots.

Samuel Tabor, Iain Guilliard, Andrey Kolobov

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2016

Interactive Teaching Strategies for Agent Training.

Ofra Amir, Ece Kamar, Andrey Kolobov, Barbara J. Grosz

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Metareasoning for Planning Under Uncertainty.

Christopher H. Lin, Andrey Kolobov, Ece Kamar, Eric Horvitz

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Selecting Robust Strategies in RTS Games via Concurrent Plan Augmentation.

Abdelrahman Elogeel, Andrey Kolobov, Matthew Alden, Ankur Teredesai

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

TODTLER: Two-Order-Deep Transfer Learning.

Jan Van Haaren, Andrey Kolobov, Jesse Davis

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Parallel Task Routing for Crowdsourcing.

Jonathan Bragg, Andrey Kolobov, Mausam, Daniel S. Weld

Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

Gauss meets Canadian traveler: shortest-path problems with correlated natural dynamics.

Debadeepta Dey, Andrey Kolobov, Rich Caruana, Ece Kamar, Eric Horvitz, Ashish Kapoor

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Saturated Path-Constrained MDP: Planning under Uncertainty and Deterministic Model-Checking Constraints.

Jonathan Sprauel, Andrey Kolobov, Florent Teichteil-Königsbuch

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Scalable Methods and Expressive Models for Planning Under Uncertainty.

Andrey Kolobov

PhD thesis, 2013

Joint Crowdsourcing of Multiple Tasks.

Andrey Kolobov, Mausam, Daniel S. Weld

Proceedings of the Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, 2013

2012

Planning with Markov Decision Processes: An AI Perspective

Mausam, Andrey Kolobov

Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01559-5, 2012

Discovering hidden structure in factored MDPs.

Andrey Kolobov, Mausam, Daniel S. Weld

Artif. Intell., 2012

A Theory of Goal-Oriented MDPs with Dead Ends.

Andrey Kolobov, Mausam, Daniel S. Weld

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Reverse Iterative Deepening for Finite-Horizon MDPs with Large Branching Factors.

Andrey Kolobov, Peng Dai, Mausam, Daniel S. Weld

Proceedings of the Twenty-Second International Conference on Automated Planning and Scheduling, 2012

LRTDP Versus UCT for Online Probabilistic Planning.

Andrey Kolobov, Mausam, Daniel S. Weld

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Towards Scalable MDP Algorithms.

Andrey Kolobov, Mausam, Daniel S. Weld

Proceedings of the IJCAI 2011, 2011

Heuristic Search for Generalized Stochastic Shortest Path MDPs.

Andrey Kolobov, Mausam, Daniel S. Weld, Hector Geffner

Proceedings of the 21st International Conference on Automated Planning and Scheduling, 2011

2010

Classical Planning in MDP Heuristics: with a Little Help from Generalization.

Andrey Kolobov, Mausam, Daniel S. Weld

Proceedings of the 20th International Conference on Automated Planning and Scheduling, 2010

SixthSense: Fast and Reliable Recognition of Dead Ends in MDPs.

Andrey Kolobov, Mausam, Daniel S. Weld

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

ReTrASE: Integrating Paradigms for Approximate Probabilistic Planning.

Andrey Kolobov, Mausam, Daniel S. Weld

Proceedings of the IJCAI 2009, 2009

2005

BLOG: Probabilistic Models with Unknown Objects.

Brian Milch, Bhaskara Marthi, Stuart Russell, David A. Sontag, Daniel L. Ong, Andrey Kolobov

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Approximate Inference for Infinite Contingent Bayesian Networks.

Brian Milch, Bhaskara Marthi, David A. Sontag, Stuart Russell, Daniel L. Ong, Andrey Kolobov

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005