| Large scale model predictive control with neural networks and primal active sets SW Chen, T Wang, N Atanasov, V Kumar, M Morari Automatica 135, 109947, 2022 | 82 | 2022 |
| Dynamic handover: Throw and catch with bimanual hands B Huang, Y Chen, T Wang, Y Qin, Y Yang, N Atanasov, X Wang arXiv preprint arXiv:2309.05655, 2023 | 9 | 2023 |
| Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning T Wang, V Dhiman, N Atanasov Autonomous Robots 47 (6), 809-830, 2023 | 6 | 2023 |
| Latent policies for adversarial imitation learning T Wang, N Karnwal, N Atanasov arXiv preprint arXiv:2206.11299, 2022 | 6 | 2022 |
| Learning navigation costs from demonstration in partially observable environments T Wang, V Dhiman, N Atanasov 2020 IEEE international conference on robotics and automation (ICRA), 4434-4440, 2020 | 5 | 2020 |
| Learning navigation costs from demonstrations with semantic observations T Wang, V Dhiman, N Atanasov Learning for Dynamics and Control, 245-255, 2020 | 4 | 2020 |
| WFA-IRL: Inverse reinforcement learning of autonomous behaviors encoded as weighted finite automata T Wang, N Atanasov 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | | 2022 |
| Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata. T Wang, N Atanasov CoRR, 2021 | | 2021 |
| Learning Navigation Costs from Demonstrations with Semantic Observations, Learning for Dynamics and Control T Wang Proceedings of the 2nd Conference on Learning for Dynamics and Control, PMLR 120, 2020 | | 2020 |
| Learning Navigation Costs from Demonstration via Differentiable Planning T Wang, N Atanasov | | |
