Generalization through simulation: Integrating simulated and real data into deep reinforcement learning for vision-based autonomous flight K Kang, S Belkhale, G Kahn, P Abbeel, S Levine 2019 international conference on robotics and automation (ICRA), 6008-6014, 2019 | 153 | 2019 |
Multi-task imitation learning for linear dynamical systems TT Zhang, K Kang, BD Lee, C Tomlin, S Levine, S Tu, N Matni Learning for Dynamics and Control Conference, 586-599, 2023 | 20 | 2023 |
Lyapunov density models: Constraining distribution shift in learning-based control K Kang, P Gradu, JJ Choi, M Janner, C Tomlin, S Levine International Conference on Machine Learning, 10708-10733, 2022 | 18 | 2022 |
Unfamiliar finetuning examples control how language models hallucinate K Kang, E Wallace, C Tomlin, A Kumar, S Levine arXiv preprint arXiv:2403.05612, 2024 | 8 | 2024 |
Hierarchically integrated models: Learning to navigate from heterogeneous robots K Kang, G Kahn, S Levine arXiv preprint arXiv:2106.13280, 2021 | 6 | 2021 |
Deep neural networks tend to extrapolate predictably K Kang, A Setlur, C Tomlin, S Levine arXiv preprint arXiv:2310.00873, 2023 | 3 | 2023 |