| 2023 | ICRA | Approximation Algorithms for Robot Tours in Random Fields with Guaranteed Estimation Accuracy. | Shamak Dutta, Nils Wilde, Pratap Tokekar, Stephen L. Smith |
| 2022 | CoRL | Do we use the Right Measure? Challenges in Evaluating Reward Learning Algorithms. | Nils Wilde, Javier Alonso-Mora |
| 2022 | WAFR | Error-Bounded Approximation of Pareto Fronts in Robot Planning Problems. | Alexander Botros, Armin Sadeghi, Nils Wilde, Javier Alonso-Mora, Stephen L. Smith |
| 2021 | CoRL | Learning Reward Functions from Scale Feedback. | Nils Wilde, Erdem Biyik, Dorsa Sadigh, Stephen L. Smith |
| 2021 | WAFR | Learning Control Sets for Lattice Planners from User Preferences. | Alexander Botros, Nils Wilde, Stephen L. Smith |
| 2020 | IROS | Active Preference Learning using Maximum Regret. | Nils Wilde, Dana Kulic, Stephen L. Smith |
| 2020 | ICRA | Learning User Preferences from Corrections on State Lattices. | Nils Wilde, Dana Kulic, Stephen L. Smith |
| 2018 | ICRA | Learning User Preferences in Robot Motion Planning Through Interaction. | Nils Wilde, Dana Kulic, Stephen L. Smith |