no code implementations • 8 Aug 2020 • Joshua R. Bertram, Peng Wei, Joseph Zambreno
Our results show that on commodity GPU hardware we can perform flight plan scheduling against 2000-3000 known flight plans and with server-class hardware the performance can be higher.
no code implementations • 9 Sep 2019 • Joshua R. Bertram, Peng Wei
We present a method for pursuit/evasion that is highly efficient and and scales to large teams of aircraft.
no code implementations • 17 May 2018 • Joshua R. Bertram, Peng Wei
The algorithm to solve the MDP does not depend on the size of the state space for either time or memory complexity, and the ability to follow the optimal policy is linear in time and space with the path length of following the optimal policy from the initial state.
no code implementations • 8 May 2018 • Joshua R. Bertram, Xuxi Yang, Peng Wei
Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision making under uncertainty.