Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning

5 February 2021

Papers citing "Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning"

8 / 8 papers shown

Title
Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions Mohammad K. Al-Sharman Luc Edes Bert Sun Vishal Jayakumar Mohamed A. Daoud Derek Rayside W. Melek 29 1 0 20 Sep 2024
Learning Risk-Aware Quadrupedal Locomotion using Distributional Reinforcement Learning Lukas Schneider Jonas Frey Takahiro Miki Marco Hutter 32 9 0 25 Sep 2023
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges Qi Liu Xueyuan Li Zirui Li Jingda Wu Guodong Du Xinlu Gao Fan Yang Shihua Yuan 49 8 0 06 Nov 2022
Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning Ugo Lecerf Christelle Yemdji Tchassi Pietro Michiardi 30 1 0 13 Apr 2022
Cooperative Trajectory Planning in Uncertain Environments with Monte Carlo Tree Search and Risk Metrics Philipp Stegmaier Karl Kurzer J. Marius Zöllner 23 1 0 09 Mar 2022
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments Qi Liu Zirui Li Xueyuan Li Jingda Wu Shihua Yuan AI4CE 39 8 0 30 Jan 2022
Robust Task Scheduling for Heterogeneous Robot Teams under Capability Uncertainty Bo Fu William Smith Denise M. Rizzo Matthew Castanier Maani Ghaffari Kira Barton 22 32 0 23 Jun 2021
Risk-Constrained Interactive Safety under Behavior Uncertainty for Autonomous Driving Julian Bernhard Alois Knoll 37 8 0 05 Feb 2021