Optimizing Collision Avoidance in Dense Airspace using Deep
Reinforcement Learning

Optimizing Collision Avoidance in Dense Airspace using Deep Reinforcement Learning

20 December 2019

Mykel Kochenderfer

Papers citing "Optimizing Collision Avoidance in Dense Airspace using Deep Reinforcement Learning"

7 / 7 papers shown

Title
Towards a Standardized Reinforcement Learning Framework for AAM Contingency Management Luis E. Alvarez Marc W. Brittain Kara Breeden 11 2 0 17 Nov 2023
Reinforcement Learning and Distributed Model Predictive Control for Conflict Resolution in Highly Constrained Spaces Xu Shen Francesco Borrelli 19 5 0 03 Feb 2023
A Survey on Reinforcement Learning in Aviation Applications Pouria Razzaghi Amin Tabrizian Wei Guo Shulu Chen Abenezer Taye Ellis E. Thompson Alexis Bregeon Ali Baheri Peng Wei OffRL 23 52 0 03 Nov 2022
AAM-Gym: Artificial Intelligence Testbed for Advanced Air Mobility Marc Brittain Luis E. Alvarez Kara Breeden Ian Jessen 17 8 0 09 Jun 2022
Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning Jueming Hu Xuxi Yang Weichang Wang Peng Wei Lei Ying Yongming Liu 40 24 0 13 Nov 2021
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip Torr Pushmeet Kohli Shimon Whiteson OffRL 117 595 0 28 Feb 2017
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning Yu Fan Chen Miao Liu Michael Everett Jonathan P. How 187 583 0 26 Sep 2016