Autonomous ramp merge maneuver based on reinforcement learning with continuous action space
P Wang, CY Chan - arXiv preprint arXiv:1803.09203, 2018 - arxiv.org
Ramp merging is a critical maneuver for road safety and traffic efficiency. Most of the current
automated driving systems developed by multiple automobile manufacturers and suppliers …
automated driving systems developed by multiple automobile manufacturers and suppliers …
Learning highway ramp merging via reinforcement learning with temporally-extended actions
Several key scenarios, such as intersection navigation, lane changing, and ramp merging,
are active areas of research in autonomous driving. In order to properly navigate these …
are active areas of research in autonomous driving. In order to properly navigate these …
Formulation of deep reinforcement learning architecture toward autonomous driving for on-ramp merge
P Wang, CY Chan - 2017 IEEE 20th International Conference …, 2017 - ieeexplore.ieee.org
Multiple automakers have in development or in production automated driving systems (ADS)
that offer freeway-pilot functions. This type of ADS is typically limited to restricted-access …
that offer freeway-pilot functions. This type of ADS is typically limited to restricted-access …
Automated driving highway traffic merging using deep multi-agent reinforcement learning in continuous state-action spaces
L Schester, LE Ortiz - 2021 IEEE Intelligent Vehicles …, 2021 - ieeexplore.ieee.org
Achieving the highest levels of automated driving will require effective solutions to the key
challenging maneuver of highway on-ramp merging. This paper extends our previous work …
challenging maneuver of highway on-ramp merging. This paper extends our previous work …
Novel decision-making strategy for connected and autonomous vehicles in highway on-ramp merging
Z el abidine Kherroubi, S Aknine… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
High-speed highway on-ramp merging is a significant challenge toward realizing fully
automated driving (level 4). Connected Autonomous Vehicles (CAVs), that combine …
automated driving (level 4). Connected Autonomous Vehicles (CAVs), that combine …
A deep reinforcement learning-based approach for autonomous driving in highway on-ramp merge
H Wang, S Yuan, M Guo, X Li… - Proceedings of the …, 2021 - journals.sagepub.com
In this paper, we focus on the problem of highway merge via parallel-type on-ramp for
autonomous vehicles (AVs) in a decentralized non-cooperative way. This problem is …
autonomous vehicles (AVs) in a decentralized non-cooperative way. This problem is …
Deep multi-agent reinforcement learning for highway on-ramp merging in mixed traffic
On-ramp merging is a challenging task for autonomous vehicles (AVs), especially in mixed
traffic where AVs coexist with human-driven vehicles (HDVs). In this paper, we formulate the …
traffic where AVs coexist with human-driven vehicles (HDVs). In this paper, we formulate the …
Nash double Q-based multi-agent deep reinforcement learning for interactive merging strategy in mixed traffic
The interaction between ramp and mainline vehicles plays a crucial role in merging areas,
especially in the mixed-traffic environment. The driving behaviours of human drivers are …
especially in the mixed-traffic environment. The driving behaviours of human drivers are …
Reinforcement learning with probabilistically safe control barrier functions for ramp merging
Prior work has looked at applying reinforcement learning (RL) approaches to autonomous
driving scenarios, but the safety of the algorithm is often compromised due to instability or …
driving scenarios, but the safety of the algorithm is often compromised due to instability or …
High-level decisions from a safe maneuver catalog with reinforcement learning for safe and cooperative automated merging
Reinforcement learning (RL) has recently been used for solving challenging decision-
making problems in the context of automated driving. However, one of the main drawbacks …
making problems in the context of automated driving. However, one of the main drawbacks …