research
∙
05/28/2023
GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction
Interactions between road agents present a significant challenge in traj...
share
research
∙
05/23/2023
Solving Stabilize-Avoid Optimal Control via Epigraph Form and Deep Reinforcement Learning
Tasks for autonomous robotic systems commonly require stabilization to a...
research
∙
10/19/2022
MPOGames: Efficient Multimodal Partially Observable Dynamic Games
Game theoretic methods have become popular for planning and prediction i...
research
∙
09/30/2022
Data-driven discovery of non-Newtonian astronomy via learning non-Euclidean Hamiltonian
Incorporating the Hamiltonian structure of physical dynamics into deep l...
research
∙
09/20/2022
Deep Generalized Schrödinger Bridge
Mean-Field Game (MFG) serves as a crucial mathematical framework in mode...
research
∙
02/22/2022
Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM
In this work, we propose a novel safe and scalable decentralized solutio...
research
∙
01/30/2022
Multimodal Maximum Entropy Dynamic Games
Environments with multi-agent interactions often result a rich set of mo...
research
∙
10/13/2021
Maximum Entropy Differential Dynamic Programming
In this paper, we present a novel maximum entropy formulation of the Dif...
research
∙
04/01/2021
Variational Inference MPC using Tsallis Divergence
In this paper, we provide a generalized framework for Variational Infere...
research
∙
09/02/2020
