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Minimizing Safety Interference for Safe and Comfortable Automated
  Driving with Distributional Reinforcement Learning

Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement Learning

15 July 2021
Danial Kamran
Tizian Engelgeh
M. Busch
Johannes Fischer
Christoph Stiller
    OffRL
ArXivPDFHTML

Papers citing "Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement Learning"

8 / 8 papers shown
Title
Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles
  with Distributional Reinforcement Learning
Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning
Xi Lin
Yewei Huang
Fanfei Chen
Brendan Englot
34
6
0
19 Feb 2024
Decision-theoretic MPC: Motion Planning with Weighted Maneuver
  Preferences Under Uncertainty
Decision-theoretic MPC: Motion Planning with Weighted Maneuver Preferences Under Uncertainty
Ömer Sahin Tas
Philipp Heinrich Brusius
Christoph Stiller
31
4
0
27 Oct 2023
On Using Admissible Bounds for Learning Forward Search Heuristics
On Using Admissible Bounds for Learning Forward Search Heuristics
Carlos Núnez-Molina
Masataro Asai
Pablo Mesejo
Juan Fernández-Olivares
13
1
0
23 Aug 2023
Robust Unmanned Surface Vehicle Navigation with Distributional
  Reinforcement Learning
Robust Unmanned Surface Vehicle Navigation with Distributional Reinforcement Learning
Xi Lin
J. McConnell
Brendan Englot
13
11
0
30 Jul 2023
Robust Route Planning with Distributional Reinforcement Learning in a
  Stochastic Road Network Environment
Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment
Xi Lin
Paul Szenher
John D. Martin
Brendan Englot
23
1
0
19 Apr 2023
Policy Evaluation in Distributional LQR
Policy Evaluation in Distributional LQR
Zifan Wang
Yulong Gao
Si Wang
Michael M. Zavlanos
Alessandro Abate
Karl H. Johansson
OffRL
23
3
0
23 Mar 2023
A Review of Safe Reinforcement Learning: Methods, Theory and
  Applications
A Review of Safe Reinforcement Learning: Methods, Theory and Applications
Shangding Gu
Longyu Yang
Yali Du
Guang Chen
Florian Walter
Jun Wang
Alois C. Knoll
OffRL
AI4TS
115
237
0
20 May 2022
Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments
  with Distributional Reinforcement Learning
Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning
Cheng Liu
E. Kampen
Guido de Croon
31
16
0
28 Mar 2022
1