33 citations · 124 across the 19 of their papers we have counts for
6 papers · 1 filter
An Efficient Algorithm for Multiple-Pursuer-Multiple-Evader Pursuit/Evasion Game
Joshua R. Bertram, Peng Wei
We present a method for pursuit/evasion that is highly efficient and and scales to large teams of aircraft. The underlying algorithm is an efficient algorithm for solving Markov De…
Stochastic and Simulation-based Models for Setting Flow Rates in Collaborative Trajectory Options Program (CTOP)
Guodong Zhu, Peng Wei, Robert Hoffman +1
As a new tool in the NextGen portfolio, the Collaborative Trajectory Options Programs (CTOP) combines multiple features from its forerunners including Ground Delay Program (GDP), A…
Autonomous Air Traffic Controller: A Deep Multi-Agent Reinforcement Learning Approach
Marc Brittain, Peng Wei
Air traffic control is a real-time safety-critical decision making process in highly dynamic and stochastic environments. In today's aviation practice, a human air traffic controll…
Prioritized Sequence Experience Replay
Marc Brittain, Josh Bertram, Xuxi Yang +1
Experience replay is widely used in deep reinforcement learning algorithms and allows agents to remember and learn from experiences from the past. In an effort to learn more effici…
A Strong Formulation for Stochastic Multiple Constrained Resources Air Traffic Flow Management with Reroutes
Guodong Zhu, Peng Wei
This paper addresses the air traffic flow management research problem of determining reroute, ground delay and air delay for flights using stochastic weather forecast information.…
Autonomous Airline Revenue Management: A Deep Reinforcement Learning Approach to Seat Inventory Control and Overbooking
Syed Arbab Mohd Shihab, Caleb Logemann, Deepak-George Thomas +1
Revenue management can enable airline corporations to maximize the revenue generated from each scheduled flight departing in their transportation network by means of finding the op…