An alternative to variance: Gini deviation for risk-averse policy gradient
Restricting the variance of a policy's return is a popular choice in risk-averse Reinforcement
Learning (RL) due to its clear mathematical definition and easy interpretability. Traditional …
Learning (RL) due to its clear mathematical definition and easy interpretability. Traditional …
Contact sequence planning for hexapod robots in sparse foothold environment based on Monte-Carlo tree
Legged robots can pass through complex field environments by selecting gaits and discrete
footholds carefully. Conventional methods plan gaits and footholds separately and treat …
footholds carefully. Conventional methods plan gaits and footholds separately and treat …
Prediction based decision making for autonomous highway driving
Autonomous driving decision-making is a challenging task due to the inherent complexity
and uncertainty in traffic. For example, adjacent vehicles may change their lane or overtake …
and uncertainty in traffic. For example, adjacent vehicles may change their lane or overtake …
Safe and efficient reinforcement learning for behavioural planning in autonomous driving
E Leurent - 2020 - inria.hal.science
In this Ph. D. thesis, we study how autonomous vehicles can learn to act safely and avoid
accidents, despite sharing the road with human drivers whose behaviours are uncertain. To …
accidents, despite sharing the road with human drivers whose behaviours are uncertain. To …
An efficient game-theoretic planner for automated lane merging with multi-modal behavior understanding
L Zhang, S Han, S Grammatico - 2023 IEEE 26th International …, 2023 - ieeexplore.ieee.org
In this paper, we propose a novel behavior planner that combines game theory with search-
based planning for automated lane merging. Specifically, inspired by human drivers, we …
based planning for automated lane merging. Specifically, inspired by human drivers, we …
Risk generation and identification of driver–vehicle–road microtraffic system
The highly nonlinear and uncertain driver-vehicle-road (DVR) traffic system will be unstable
and cause potential risks under certain conditions. This paper analyzes the attributes and …
and cause potential risks under certain conditions. This paper analyzes the attributes and …
Self‐Driving Vehicle Systems in Intelligent Transportation Networks
YC Kuyu - Interconnected Modern Multi‐Energy Networks and …, 2024 - Wiley Online Library
In recent years, the field of autonomous and intelligent vehicle systems has grown
immensely with the recent advances in components, design, and implementation techniques …
immensely with the recent advances in components, design, and implementation techniques …
Fault tolerant free gait and footstep planning for hexapod robot based on monte-carlo tree
Legged robots can pass through complex field environments by selecting gaits and discrete
footholds carefully. Traditional methods plan gait and foothold separately and treat them as …
footholds carefully. Traditional methods plan gait and foothold separately and treat them as …
Learning how to drive using DDPG algorithm with double experience buffer priority sampling
J Zhang, L Li, C Hu - 2020 Chinese Automation Congress …, 2020 - ieeexplore.ieee.org
The driving policy based on the DDPG algorithm has the defects of convergence difficulty
and poor anti-interference ability. An important reason for these defects is that the random …
and poor anti-interference ability. An important reason for these defects is that the random …
Attacks and Defenses on Autonomous Vehicles: From Sensor Perception to Control Area Networks
Y Man - 2022 - search.proquest.com
Autonomous driving has been a focus in both industry and academia. The autonomous
vehicle decision-making pipeline is typically comprised of several modules from perceiving …
vehicle decision-making pipeline is typically comprised of several modules from perceiving …