| Deep Generalized Schrodinger Bridge GH Liu, T Chen, O So, EA Theodorou Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 2022 | 42 | 2022 |
| Variational Inference MPC using Tsallis Divergence Z Wang, O So, J Gibson, B Vlahov, MS Gandhi, GH Liu, EA Theodorou Robotics: Science and Systems 2021, 2021 | 22 | 2021 |
| Adaptive Risk Sensitive Model Predictive Control with Stochastic Search Z Wang, O So, K Lee, EA Theodorou Proceedings of the 3rd Conference on Learning for Dynamics and Control, 510-522, 2021 | 14* | 2021 |
| Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM MA Pereira, AD Saravanos, O So, EA Theodorou Robotics: Science and Systems 2022, 2022 | 13 | 2022 |
| Maximum Entropy Differential Dynamic Programming O So, Z Wang, EA Theodorou 2022 IEEE International Conference on Robotics and Automation (ICRA), 2021 | 10 | 2021 |
| Solving Stabilize-Avoid Optimal Control via Epigraph Form and Deep Reinforcement Learning O So, C Fan Robotics: Science and Systems 2023, 2023 | 9 | 2023 |
| How to Train Your Neural Control Barrier Function: Learning Safety Filters for Complex Input-Constrained Systems O So, Z Serlin, M Mann, J Gonzales, K Rutledge, N Roy, C Fan 2024 IEEE International Conference on Robotics and Automation (ICRA), 2023 | 6 | 2023 |
| MPOGames: Efficient Multimodal Partially Observable Dynamic Games O So, P Drews, T Balch, V Dimitrov, G Rosman, EA Theodorou 2023 IEEE International Conference on Robotics and Automation (ICRA), 2022 | 6 | 2022 |
| Multimodal Maximum Entropy Dynamic Games O So, K Stachowicz, EA Theodorou arXiv preprint arXiv:2201.12925, 2022 | 5 | 2022 |
| GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control S Zhang, O So, K Garg, C Fan arXiv preprint arXiv:2401.14554, 2024 | 4 | 2024 |
| Learning safe control for multi-robot systems: Methods, verification, and open challenges K Garg, S Zhang, O So, C Dawson, C Fan Annual Reviews in Control 57, 100948, 2024 | 3 | 2024 |
| Data-driven discovery of non-Newtonian astronomy via learning non-Euclidean Hamiltonian O So, G Li, EA Theodorou, M Tao Machine Learning and the Physical Sciences (NeurIPS 2022), 2022 | 3 | 2022 |
| Almost-Sure Safety Guarantees of Stochastic Zero-Control Barrier Functions Do Not Hold O So, A Clark, C Fan arXiv preprint arXiv:2312.02430, 2023 | 1 | 2023 |
| Sampling-Based Optimization for Multi-Agent Model Predictive Control Z Wang, AD Saravanos, H Almubarak, O So, EA Theodorou arXiv preprint arXiv:2211.11878, 2022 | 1 | 2022 |
| Spatio-Temporal Differential Dynamic Programming for Control of Fields EN Evans, O So, AP Kendall, GH Liu, EA Theodorou arXiv preprint arXiv:2104.04044, 2021 | 1 | 2021 |
| Active Disruption Avoidance and Trajectory Design for Tokamak Ramp-downs with Neural Differential Equations and Reinforcement Learning AM Wang, O So, C Dawson, DT Garnier, C Rea, C Fan arXiv preprint arXiv:2402.09387, 2024 | | 2024 |
| GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction J Lidard, O So, Y Zhang, J DeCastro, X Cui, X Huang, YL Kuo, J Leonard, ... arXiv preprint arXiv:2305.17600, 2023 | | 2023 |
| Distributionally Robust Optimization Techniques for Stochastic Optimal Control CMO So Georgia Institute of Technology, 2022 | | 2022 |
