Oswin So

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 24

Top Topics

Variational Inference

Reinforcement Learning

Maximum Entropy

Partially Observable

Top Venues

Robotics: Science and Systems

Annu. Rev. Control.

Publications

Allen M. Wang, Oswin So, Charles Dawson, Darren T. Garnier, Cristina Rea, Chuchu Fan
Active Disruption Avoidance and Trajectory Design for Tokamak Ramp-downs with Neural Differential Equations and Reinforcement Learning. CoRR (2024)
Songyuan Zhang, Oswin So, Kunal Garg, Chuchu Fan
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control. CoRR (2024)
Kunal Garg, Songyuan Zhang, Oswin So, Charles Dawson, Chuchu Fan
Learning safe control for multi-robot systems: Methods, verification, and open challenges. Annu. Rev. Control. 57 (2024)
Oswin So, Zachary Serlin, Makai Mann, Jake Gonzales, Kwesi Rutledge, Nicholas Roy, Chuchu Fan
How to Train Your Neural Control Barrier Function: Learning Safety Filters for Complex Input-Constrained Systems. ICRA (2024)
Kunal Garg, Songyuan Zhang, Oswin So, Charles Dawson, Chuchu Fan
Learning Safe Control for Multi-Robot Systems: Methods, Verification, and Open Challenges. CoRR (2023)
Oswin So, Chuchu Fan
Solving Stabilize-Avoid Optimal Control via Epigraph Form and Deep Reinforcement Learning. CoRR (2023)
Oswin So, Andrew Clark, Chuchu Fan
Almost-Sure Safety Guarantees of Stochastic Zero-Control Barrier Functions Do Not Hold. CoRR (2023)
Oswin So, Paul Drews, Thomas Balch, Velin Dimitrov, Guy Rosman, Evangelos A. Theodorou
MPOGames: Efficient Multimodal Partially Observable Dynamic Games. ICRA (2023)
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
GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction. CoRR (2023)
Oswin So, Chuchu Fan
Solving Stabilize-Avoid via Epigraph Form Optimal Control using Deep Reinforcement Learning. Robotics: Science and Systems (2023)
Oswin So, Zachary Serlin, Makai Mann, Jake Gonzales, Kwesi Rutledge, Nicholas Roy, Chuchu Fan
How to Train Your Neural Control Barrier Function: Learning Safety Filters for Complex Input-Constrained Systems. CoRR (2023)
Guan-Horng Liu, Tianrong Chen, Oswin So, Evangelos A. Theodorou
Deep Generalized Schrödinger Bridge. NeurIPS (2022)
Oswin So, Kyle Stachowicz, Evangelos A. Theodorou
Multimodal Maximum Entropy Dynamic Games. CoRR (2022)
Oswin So, Gongjie Li, Evangelos A. Theodorou, Molei Tao
Data-driven discovery of non-Newtonian astronomy via learning non-Euclidean Hamiltonian. CoRR (2022)
Oswin So, Ziyi Wang, Evangelos A. Theodorou
Maximum Entropy Differential Dynamic Programming. ICRA (2022)
Oswin So, Paul Drews, Thomas Balch, Velin Dimitrov, Guy Rosman, Evangelos A. Theodorou
MPOGames: Efficient Multimodal Partially Observable Dynamic Games. CoRR (2022)
Marcus A. Pereira, Augustinos D. Saravanos, Oswin So, Evangelos A. Theodorou
Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM. Robotics: Science and Systems (2022)
Marcus A. Pereira, Augustinos D. Saravanos, Oswin So, Evangelos A. Theodorou
Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM. CoRR (2022)
Guan-Horng Liu, Tianrong Chen, Oswin So, Evangelos A. Theodorou
Deep Generalized Schrödinger Bridge. CoRR (2022)
Ziyi Wang, Oswin So, Keuntaek Lee, Evangelos A. Theodorou
Adaptive Risk Sensitive Model Predictive Control with Stochastic Search. L4DC (2021)
Ziyi Wang, Oswin So, Jason Gibson, Bogdan I. Vlahov, Manan Gandhi, Guan-Horng Liu, Evangelos A. Theodorou
Variational Inference MPC using Tsallis Divergence. Robotics: Science and Systems (2021)
Oswin So, Ziyi Wang, Evangelos A. Theodorou
Maximum Entropy Differential Dynamic Programming. CoRR (2021)
Ziyi Wang, Oswin So, Jason Gibson, Bogdan I. Vlahov, Manan S. Gandhi, Guan-Horng Liu, Evangelos A. Theodorou
Variational Inference MPC using Tsallis Divergence. CoRR (2021)
Ziyi Wang, Oswin So, Keuntaek Lee, Camilo A. Duarte, Evangelos A. Theodorou
Adaptive CVaR Optimization for Dynamical Systems with Path Space Stochastic Search. CoRR (2020)