Oswin So

According to our database, Oswin So authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Active Disruption Avoidance and Trajectory Design for Tokamak Ramp-downs with Neural Differential Equations and Reinforcement Learning.

Allen M. Wang, Oswin So, Charles Dawson, Darren T. Garnier, Cristina Rea, Chuchu Fan

CoRR, 2024

GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control.

Songyuan Zhang, Oswin So, Kunal Garg, Chuchu Fan

CoRR, 2024

Learning safe control for multi-robot systems: Methods, verification, and open challenges.

Kunal Garg, Songyuan Zhang, Oswin So, Charles Dawson, Chuchu Fan

Annu. Rev. Control., 2024

How to Train Your Neural Control Barrier Function: Learning Safety Filters for Complex Input-Constrained Systems.

Oswin So, Zachary Serlin, Makai Mann, Jake Gonzales, Kwesi Rutledge, Nicholas Roy, Chuchu Fan

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Almost-Sure Safety Guarantees of Stochastic Zero-Control Barrier Functions Do Not Hold.

Oswin So, Andrew Clark, Chuchu Fan

CoRR, 2023

GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction.

Justin Lidard, Oswin So, Yanxia Zhang, Jonathan A. DeCastro, Xiongyi Cui, Xin Huang, Yen-Ling Kuo, John J. Leonard, Avinash Balachandran, Naomi Ehrich Leonard, Guy Rosman

CoRR, 2023

Solving Stabilize-Avoid Optimal Control via Epigraph Form and Deep Reinforcement Learning.

Oswin So, Chuchu Fan

CoRR, 2023

Solving Stabilize-Avoid via Epigraph Form Optimal Control using Deep Reinforcement Learning.

Oswin So, Chuchu Fan

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

MPOGames: Efficient Multimodal Partially Observable Dynamic Games.

Oswin So, Paul Drews, Thomas Balch, Velin Dimitrov, Guy Rosman, Evangelos A. Theodorou

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Data-driven discovery of non-Newtonian astronomy via learning non-Euclidean Hamiltonian.

Oswin So, Gongjie Li, Evangelos A. Theodorou, Molei Tao

CoRR, 2022

Multimodal Maximum Entropy Dynamic Games.

Oswin So, Kyle Stachowicz, Evangelos A. Theodorou

CoRR, 2022

Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM.

Marcus A. Pereira, Augustinos D. Saravanos, Oswin So, Evangelos A. Theodorou

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Deep Generalized Schrödinger Bridge.

Guan-Horng Liu, Tianrong Chen, Oswin So, Evangelos A. Theodorou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Maximum Entropy Differential Dynamic Programming.

Oswin So, Ziyi Wang, Evangelos A. Theodorou

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Variational Inference MPC using Tsallis Divergence.

Ziyi Wang, Oswin So, Jason Gibson, Bogdan I. Vlahov, Manan Gandhi, Guan-Horng Liu, Evangelos A. Theodorou

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Adaptive Risk Sensitive Model Predictive Control with Stochastic Search.

Ziyi Wang, Oswin So, Keuntaek Lee, Evangelos A. Theodorou

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

2020

Adaptive CVaR Optimization for Dynamical Systems with Path Space Stochastic Search.

Ziyi Wang, Oswin So, Keuntaek Lee, Camilo A. Duarte, Evangelos A. Theodorou

CoRR, 2020