I’m Oswin So, a 1st year grad student in REALM at MIT, advised by Chuchu Fan. Previously, I did my undergrad at Georgia Tech, where I was very fortunate to do undergraduate researcher with Evangelos Theodorou and Molei Tao.
Last summer, I interned at Toyota Research Institute where I worked on game theoretic planning. Previously, I worked at Aurora as a Behavior Planning Intern during the summer of 2021 under Paul Vernaza and Arun Venkatraman, working on cost function learning via on-policy negative examples for autonomous driving.
See my full CV here (updated November 2021).
Two of my recent works Multimodal Maximum Entropy Dynamic Games and Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM were recently submitted to RSS 2022 and are currently under review! Check them out.
Also, Maximum Entropy Differential Dynamic Programming has just been accepted to ICRA 2022!
Check out our most recent work Maximum Entropy Differential Dynamic Programming currently under review for ICRA 2021!
Variational Inference MPC using Tsallis Divergence has been accepted to RSS 2021!
Adaptive Risk Sensitive Model Predictive Control with Stochastic Search has been accepted to L4DC 2021!
arxivMPOGames: Efficient Multimodal Partially Observable Dynamic GamesICRA 2023 (in submission) , 2022
ML4PS 2022Data-driven discovery of non-Newtonian astronomy via learning non-Euclidean HamiltonianMachine Learning and the Physical Sciences Workshop NeurIPS , 2022
NeurIPS 2022Deep Generalized Schrodinger BridgeThirty-Sixth Conference on Neural Information Processing Systems , 2022
arxivMultimodal Maximum Entropy Dynamic GamesarXiv preprint (in submission) , 2022
RSS 2022Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMMProceedings of Robotics: Science and Systems , 2022
ICRA 2022Maximum Entropy Differential Dynamic Programming2022 International Conference on Robotics and Automation (ICRA) , 2021
RSS 2021Variational Inference MPC using Tsallis DivergenceRobotics: Science and Systems (*Equal Contribution) , 2021
arxivSpatio-Temporal Differential Dynamic Programming for Control of FieldsarXiv preprint (in submission) , 2021
L4DC 2021Adaptive Risk Sensitive Model Predictive Control with Stochastic SearchLearning for Dynamics & Control Conference , 2021