| Learning from suboptimal demonstration via self-supervised reward regression L Chen, R Paleja, M Gombolay Proceedings of the 2020 Conference on Robot Learning, 2020 | 99 | 2020 |
| Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation L Chen, R Paleja, M Ghuy, M Gombolay Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot …, 2020 | 40 | 2020 |
| A hierarchical coordination framework for joint perception-action tasks in composite robot teams E Seraj, L Chen, MC Gombolay IEEE Transactions on Robotics 38 (1), 139-158, 2021 | 29 | 2021 |
| Interpretable and personalized apprenticeship scheduling: Learning interpretable scheduling policies from heterogeneous user demonstrations R Paleja, A Silva, L Chen, M Gombolay Advances in neural information processing systems 33, 6417-6428, 2020 | 29 | 2020 |
| Human-robot teaming: grand challenges M Natarajan, E Seraj, B Altundas, R Paleja, S Ye, L Chen, R Jensen, ... Current Robotics Reports 4 (3), 81-100, 2023 | 16 | 2023 |
| Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations L Chen, S Jayanthi, RR Paleja, D Martin, V Zakharov, M Gombolay 6th Annual Conference on Robot Learning, 2022 | 8 | 2022 |
| Efficient model-free reinforcement learning using gaussian process Y Fan, L Chen, Y Wang arXiv preprint arXiv:1812.04359, 2018 | 8 | 2018 |
| The effect of robot skill level and communication in rapid, proximate human-robot collaboration KM Lee, A Krishna, Z Zaidi, R Paleja, L Chen, E Hedlund-Botti, M Schrum, ... Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot …, 2023 | 7 | 2023 |
| Using machine learning to predict perfusionists’ critical decision-making during cardiac surgery RD Dias, MA Zenati, G Rance, R Srey, D Arney, L Chen, R Paleja, ... Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2022 | 6 | 2022 |
| Learning models of adversarial agent behavior under partial observability S Ye, M Natarajan, Z Wu, R Paleja, L Chen, MC Gombolay 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 4 | 2023 |
| Athletic mobile manipulator system for robotic wheelchair tennis Z Zaidi, D Martin, N Belles, V Zakharov, A Krishna, KM Lee, P Wagstaff, ... IEEE Robotics and Automation Letters 8 (4), 2245-2252, 2023 | 4 | 2023 |
| Safe inverse reinforcement learning via control barrier function Y Yang, L Chen, M Gombolay arXiv preprint arXiv:2212.02753, 2022 | 3 | 2022 |
| Adversarial search and tracking with multiagent reinforcement learning in sparsely observable environment Z Wu, S Ye, M Natarajan, L Chen, R Paleja, MC Gombolay 2023 International Symposium on Multi-Robot and Multi-Agent Systems (MRS), 43-49, 2023 | 2 | 2023 |
| Towards sample-efficient apprenticeship learning from suboptimal demonstration L Chen, R Paleja, M Gombolay arXiv preprint arXiv:2110.04347, 2021 | 2 | 2021 |
| Interpretable apprenticeship learning from heterogeneous decision-making via personalized embeddings R Paleja, A Silva, L Chen, M Gombolay arXiv preprint arXiv:1906.06397, 2019 | 2 | 2019 |
| Learn Thy Enemy: Online, Task-Aware Opponent Modeling in Autonomous Racing L Chen, S Manuel, J Delgado, S John, T Paul | 2* | |
| Enhancing Safety in Learning from Demonstration Algorithms via Control Barrier Function Shielding Y Yang, L Chen, Z Zaidi, S van Waveren, A Krishna, M Gombolay Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot …, 2024 | 1 | 2024 |
| Droid: Learning from offline heterogeneous demonstrations via reward-policy distillation S Jayanthi, L Chen, N Balabanska, V Duong, E Scarlatescu, ... Conference on Robot Learning, 1547-1571, 2023 | 1 | 2023 |
| Interpretable Reinforcement Learning for Robotics and Continuous Control R Paleja, L Chen, Y Niu, A Silva, Z Li, S Zhang, C Ritchie, S Choi, ... arXiv preprint arXiv:2311.10041, 2023 | 1 | 2023 |
| Utilizing human feedback for primitive optimization in wheelchair tennis A Krishna, Z Zaidi, L Chen, R Paleja, E Seraj, M Gombolay arXiv preprint arXiv:2212.14403, 2022 | 1 | 2022 |
Matthew GombolayAssistant Professor, Georgia Institute of Technology在 cc.gatech.edu 的电子邮件经过验证
