Ellen R. Novoseller

According to our database, Ellen R. Novoseller authored at least 21 papers between 2019 and 2024.

Collaborative distances:

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

2024

Crowd-PrefRL: Preference-Based Reward Learning from Crowds.

David Chhan, Ellen R. Novoseller, Vernon J. Lawhern

CoRR, 2024

Re-Envisioning Command and Control.

Kaleb McDowell, Ellen R. Novoseller, Anna Madison, Vinicius G. Goecks, Christopher Kelshaw

Proceedings of the International Conference on Military Communication and Information Systems, 2024

Scalable Interactive Machine Learning for Future Command and Control.

Anna Madison, Ellen R. Novoseller, Vinicius G. Goecks, Benjamin T. Files, Nicholas R. Waytowich, Alfred Yu, Vernon J. Lawhern, Steven Thurman, Christopher Kelshaw, Kaleb McDowell

Proceedings of the International Conference on Military Communication and Information Systems, 2024

Rating-Based Reinforcement Learning.

Devin White, Mingkang Wu, Ellen R. Novoseller, Vernon J. Lawhern, Nicholas R. Waytowich, Yongcan Cao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

DIP-RL: Demonstration-Inferred Preference Learning in Minecraft.

Ellen R. Novoseller, Vinicius G. Goecks, David Watkins, Josh Miller, Nicholas R. Waytowich

CoRR, 2023

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition.

Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Sharada P. Mohanty, Byron Galbraith, Ke Chen, Yan Song, Tianze Zhou, Bingquan Yu, He Liu, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Ellen R. Novoseller, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Josh Miller, Rohin Shah

CoRR, 2023

Efficient Preference-Based Reinforcement Learning Using Learned Dynamics Models.

Yi Liu, Gaurav Datta, Ellen R. Novoseller, Daniel S. Brown

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Policy-Based Bayesian Experimental Design for Non-Differentiable Implicit Models.

Vincent Lim, Ellen R. Novoseller, Jeffrey Ichnowski, Huang Huang, Ken Goldberg

CoRR, 2022

Autonomously Untangling Long Cables.

Vainavi Viswanath, Kaushik Shivakumar, Justin Kerr, Brijen Thananjeyan, Ellen R. Novoseller, Jeffrey Ichnowski, Alejandro Escontrela, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Efficiently Learning Single-Arm Fling Motions to Smooth Garments.

Lawrence Yunliang Chen, Huang Huang, Ellen R. Novoseller, Daniel Seita, Jeffrey Ichnowski, Michael Laskey, Richard Cheng, Thomas Kollar, Ken Goldberg

Proceedings of the Robotics Research, 2022

Learning Switching Criteria for Sim2Real Transfer of Robotic Fabric Manipulation Policies.

Satvik Sharma, Ellen R. Novoseller, Vainavi Viswanath, Zaynah Javed, Rishi Parikh, Ryan Hoque, Ashwin Balakrishna, Daniel S. Brown, Ken Goldberg

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021

Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies.

Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Jeffrey Ichnowski, Ellen R. Novoseller, Minho Hwang, Michael Laskey, Joseph Gonzalez, Ken Goldberg

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition.

Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Sharada P. Mohanty, Byron Galbraith, Ke Chen, Yan Song, Tianze Zhou, Bingquan Yu, He Liu, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Lucas Cazzonelli, Cedric Kulbach, Nicholas Popovic, Marvin Schweizer, Ellen R. Novoseller, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Josh Miller, Rohin Shah

Proceedings of the NeurIPS 2022 Competition Track, 2021

Disentangling Dense Multi-Cable Knots.

Vainavi Viswanath, Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Ellen R. Novoseller, Jeffrey Ichnowski, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes.

Kejun Li, Maegan Tucker, Erdem Biyik, Ellen R. Novoseller, Joel W. Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D. Ames

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning.

Ryan Hoque, Ashwin Balakrishna, Ellen R. Novoseller, Albert Wilcox, Daniel S. Brown, Ken Goldberg

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

LazyDAgger: Reducing Context Switching in Interactive Imitation Learning.

Ryan Hoque, Ashwin Balakrishna, Carl Putterman, Michael Luo, Daniel S. Brown, Daniel Seita, Brijen Thananjeyan, Ellen R. Novoseller, Ken Goldberg

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020

Dueling Posterior Sampling for Preference-Based Reinforcement Learning.

Ellen R. Novoseller, Yibing Wei, Yanan Sui, Yisong Yue, Joel Burdick

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits.

Maegan Tucker, Myra Cheng, Ellen R. Novoseller, Richard Cheng, Yisong Yue, Joel W. Burdick, Aaron D. Ames

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Preference-Based Learning for Exoskeleton Gait Optimization.

Maegan Tucker, Ellen R. Novoseller, Claudia Kann, Yanan Sui, Yisong Yue, Joel W. Burdick, Aaron D. Ames

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Dueling Posterior Sampling for Preference-Based Reinforcement Learning.

Ellen R. Novoseller, Yanan Sui, Yisong Yue, Joel W. Burdick

CoRR, 2019