Search Results for author: Joshua R. Bertram

Found 4 papers, 0 papers with code

Scalable FastMDP for Pre-departure Airspace Reservation and Strategic De-conflict

no code implementations8 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.

Scheduling

An Efficient Algorithm for Multiple-Pursuer-Multiple-Evader Pursuit/Evasion Game

no code implementations9 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.

Memoryless Exact Solutions for Deterministic MDPs with Sparse Rewards

no code implementations17 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.

Fast Online Exact Solutions for Deterministic MDPs with Sparse Rewards

no code implementations8 May 2018 Joshua R. Bertram, Xuxi Yang, Peng Wei

Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision making under uncertainty.

Decision Making Decision Making Under Uncertainty

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