QuaDUE-CCM: Interpretable Distributional Reinforcement Learning using Uncertain Contraction Metrics for Precise Quadrotor Trajectory Tracking

15 July 2022

Papers citing "QuaDUE-CCM: Interpretable Distributional Reinforcement Learning using Uncertain Contraction Metrics for Precise Quadrotor Trajectory Tracking"

7 / 7 papers shown

Title
Is That Rain? Understanding Effects on Visual Odometry Performance for Autonomous UAVs and Efficient DNN-based Rain Classification at the Edge Andrea Albanese Yanran Wang Davide Brunelli David E. Boyle 32 1 0 17 Jul 2024
Probabilistic Constrained Reinforcement Learning with Formal Interpretability Yanran Wang Qiuchen Qian David E. Boyle 16 4 0 13 Jul 2023
Interpretable Stochastic Model Predictive Control using Distributional Reinforced Estimation for Quadrotor Tracking Systems Yanran Wang James O’Keeffe Qiuchen Qian David E. Boyle 13 3 0 14 May 2022
Conservative Offline Distributional Reinforcement Learning Yecheng Jason Ma Dinesh Jayaraman Osbert Bastani OffRL 70 78 0 12 Jul 2021
Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems Glen Chou N. Ozay Dmitry Berenson 29 25 0 18 Apr 2021
Data-Driven MPC for Quadrotors G. Torrente Elia Kaufmann Philip Föhn Davide Scaramuzza 83 208 0 10 Feb 2021
PAMPC: Perception-Aware Model Predictive Control for Quadrotors Davide Falanga Philipp Foehn Peng Lu Davide Scaramuzza 69 215 0 13 Apr 2018