Interactions between road agents present a significant challenge in
traj...
Tasks for autonomous robotic systems commonly require stabilization to a...
Game theoretic methods have become popular for planning and prediction i...
Incorporating the Hamiltonian structure of physical dynamics into deep
l...
Mean-Field Game (MFG) serves as a crucial mathematical framework in mode...
In this work, we propose a novel safe and scalable decentralized solutio...
Environments with multi-agent interactions often result a rich set of
mo...
In this paper, we present a novel maximum entropy formulation of the
Dif...
In this paper, we provide a generalized framework for Variational
Infere...
We present a general framework for optimizing the Conditional Value-at-R...