GPU Accelerated Convex Approximations for Fast Multi-Agent Trajectory Optimization.
Fatemeh RastgarHouman MasnaviJatan ShresthaKarl KruusamäeAlvo AablooArun Kumar SinghPublished in: IEEE Robotics Autom. Lett. (2021)
Keyphrases
- gpu accelerated
- multi agent
- real time
- reinforcement learning
- optimization algorithm
- convex relaxation
- convex programming
- optimization problems
- finite element
- convex hull
- quasiconvex
- semi definite programming
- efficient optimization
- risk minimization
- semidefinite
- multi agent systems
- convex optimization
- optimization method
- closed form
- moving objects
- neural network