A Survey on Reinforcement Learning in Aviation Applications

3 November 2022

Papers citing "A Survey on Reinforcement Learning in Aviation Applications"

20 / 20 papers shown

Title
Likelihood Reward Redistribution Minheng Xiao Zhenbang Jiao 55 0 0 20 Mar 2025
APF+: Boosting adaptive-potential function reinforcement learning methods with a W-shaped network for high-dimensional games Yifei Chen Lambert Schomaker 39 0 0 17 Mar 2025
Behavior Preference Regression for Offline Reinforcement Learning Padmanaba Srinivasan William J. Knottenbelt OffRL 33 0 0 02 Mar 2025
Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement Learning Ali Baheri Zahra Sharooei Chirayu Salgarkar 161 0 0 17 Jan 2025
Learning Collusion in Episodic, Inventory-Constrained Markets Paul Friedrich Barna Pásztor Giorgia Ramponi 18 1 0 24 Oct 2024
Tradeoffs When Considering Deep Reinforcement Learning for Contingency Management in Advanced Air Mobility Luis E. Alvarez Marc W. Brittain Steven D. Young 25 0 0 28 Jun 2024
Optimal Transport-Assisted Risk-Sensitive Q-Learning Zahra Shahrooei Ali Baheri 29 2 0 17 Jun 2024
Reinforcement Learning with Latent State Inference for Autonomous On-ramp Merging under Observation Delay Amin Tabrizian Zhitong Huang Peng Wei AI4CE 16 1 0 18 Mar 2024
Concurrent Learning of Policy and Unknown Safety Constraints in Reinforcement Learning Lunet Yifru Ali Baheri OffRL 33 1 0 24 Feb 2024
Model-assisted Reinforcement Learning of a Quadrotor Arshad Javeed 11 0 0 12 Nov 2023
Risk-Aware Reinforcement Learning through Optimal Transport Theory Ali Baheri 11 5 0 12 Sep 2023
Safe and Scalable Real-Time Trajectory Planning Framework for Urban Air Mobility Abenezer Taye Roberto G. Valenti A. Rajhans A. Mavrommati P. Mosterman Peng Wei 16 4 0 20 Jun 2023
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-aware Prioritization Kailash Gogineni Yongsheng Mei Peng Wei Tian-Shing Lan Guru Venkataramani 16 13 0 31 May 2023
Learning Interpretable Models of Aircraft Handling Behaviour by Reinforcement Learning from Human Feedback Tom Bewley J. Lawry Arthur G. Richards 27 1 0 26 May 2023
Towards Efficient Multi-Agent Learning Systems Kailash Gogineni Peng Wei Tian-Shing Lan Guru Venkataramani 21 4 0 22 May 2023
Integrated Conflict Management for UAM with Strategic Demand Capacity Balancing and Learning-based Tactical Deconfliction Shulu Chen A. Evans Marc Brittain Peng Wei 9 15 0 17 May 2023
Towards Theoretical Understanding of Data-Driven Policy Refinement Ali Baheri 19 0 0 11 May 2023
Joint Learning of Policy with Unknown Temporal Constraints for Safe Reinforcement Learning Lunet Yifru Ali Baheri 11 1 0 30 Apr 2023
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 165 1,630 0 02 Feb 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015