activity
20182020
most citedAutonomous Air Traffic Controller: A Deep Multi-Agent Reinforcement Learning Approach

27 citations · 48 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.AI2020

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

Joshua R Bertram, Peng Wei, Joseph Zambreno

Pre-departure flight plan scheduling for Urban Air Mobility (UAM) and cargo delivery drones will require on-demand scheduling of large numbers of aircraft. We examine the scalabili…

cs.AI20203 cited

Continuous Control for Searching and Planning with a Learned Model

Xuxi Yang, Werner Duvaud, Peng Wei

Decision-making agents with planning capabilities have achieved huge success in the challenging domain like Chess, Shogi, and Go. In an effort to generalize the planning ability to…

cs.AI2019

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…

cs.AI201916 cited

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…

cs.AI2018

Hierarchical Reinforcement Learning with Deep Nested Agents

Marc Brittain, Peng Wei

Deep hierarchical reinforcement learning has gained a lot of attention in recent years due to its ability to produce state-of-the-art results in challenging environments where non-…