Dueling Posterior Sampling for Preference-Based Reinforcement Learning. - Ellen R. Novoseller; Yanan Sui; Yisong Yue; Joel W. Burdick (CoRR, 2019)

Preference-Based Learning for Exoskeleton Gait Optimization. - Maegan Tucker; Ellen R. Novoseller; Claudia Kann; Yanan Sui; Yisong Yue; Joel W. Burdick; Aaron D. Ames (ICRA, 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 (IROS, 2020)

Dueling Posterior Sampling for Preference-Based Reinforcement Learning. - Ellen R. Novoseller; Yibing Wei; Yanan Sui; Yisong Yue; Joel Burdick (UAI, 2020)

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 (CASE, 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 (CoRL, 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 (ICRA, 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 (IROS, 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; et al. (NeurIPS (Competition and Demos), 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 001; Ken Goldberg (Robotics: Science and Systems, 2021)

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 (CASE, 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 (ISRR, 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 (Robotics: Science and Systems, 2022)

Policy-Based Bayesian Experimental Design for Non-Differentiable Implicit Models. - Vincent Lim; Ellen R. Novoseller; Jeffrey Ichnowski; Huang Huang; Ken Goldberg (CoRR, 2022)

Efficient Preference-Based Reinforcement Learning Using Learned Dynamics Models. - Yi Liu; Gaurav Datta; Ellen R. Novoseller; Daniel S. Brown (ICRA, 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; et al. (CoRR, 2023)

DIP-RL: Demonstration-Inferred Preference Learning in Minecraft. - Ellen R. Novoseller; Vinicius G. Goecks; David Watkins; Josh Miller; Nicholas R. Waytowich (CoRR, 2023)

Rating-Based Reinforcement Learning. - Devin White; Mingkang Wu; Ellen R. Novoseller; Vernon J. Lawhern; Nicholas R. Waytowich; Yongcan Cao (AAAI, 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 (ICMCIS, 2024)

Re-Envisioning Command and Control. - Kaleb McDowell; Ellen R. Novoseller; Anna Madison; Vinicius G. Goecks; Christopher Kelshaw (ICMCIS, 2024)

Crowd-PrefRL: Preference-Based Reward Learning from Crowds. - David Chhan; Ellen R. Novoseller; Vernon J. Lawhern (CoRR, 2024)

Learning Multi-Robot Coordination through Locality-Based Factorized Multi-Agent Actor-Critic Algorithm. - Chak Lam Shek; Amrit Singh Bedi; Anjon Basak; Ellen R. Novoseller; Nicholas R. Waytowich; Priya Narayanan; Dinesh Manocha; Pratap Tokekar (CoRR, 2025)