| Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction | 0 | 0.34 | 2022 |
| Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams. | 0 | 0.34 | 2022 |
| Learning reward functions from diverse sources of human feedback: Optimally integrating demonstrations and preferences | 0 | 0.34 | 2022 |
| Learning Multimodal Rewards from Rankings. | 0 | 0.34 | 2021 |
| Incentivizing Efficient Equilibria in Traffic Networks With Mixed Autonomy | 0 | 0.34 | 2021 |
| Emergent Prosociality in Multi-Agent Games Through Gifting. | 0 | 0.34 | 2021 |
| Incentivizing Routing Choices for Safe and Efficient Transportation in the Face of the COVID-19 Pandemic | 0 | 0.34 | 2021 |
| Learning Reward Functions from Scale Feedback. | 0 | 0.34 | 2021 |
| ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes | 0 | 0.34 | 2021 |
| Multi-Agent Safe Planning with Gaussian Processes | 0 | 0.34 | 2020 |
| When Humans Aren't Optimal - Robots that Collaborate with Risk-Aware Humans. | 2 | 0.40 | 2020 |
| Active Preference-Based Gaussian Process Regression for Reward Learning | 2 | 0.43 | 2020 |
| Batch Active Learning Using Determinantal Point Processes. | 0 | 0.34 | 2019 |
| Asking Easy Questions: A User-Friendly Approach to Active Reward Learning | 0 | 0.34 | 2019 |
| Active Learning of Reward Dynamics from Hierarchical Queries | 2 | 0.43 | 2019 |
| The Green Choice: Learning and Influencing Human Decisions on Shared Roads | 1 | 0.36 | 2019 |
| Altruistic Autonomy: Beating Congestion on Shared Roads. | 0 | 0.34 | 2018 |
| Batch Active Preference-Based Learning of Reward Functions. | 0 | 0.34 | 2018 |
