Social coordination and altruism in autonomous driving
Despite the advances in the autonomous driving domain, autonomous vehicles (AVs) are
still inefficient and limited in terms of cooperating with each other or coordinating with …
still inefficient and limited in terms of cooperating with each other or coordinating with …
Robustness and adaptability of reinforcement learning-based cooperative autonomous driving in mixed-autonomy traffic
Building autonomous vehicles (AVs) is a complex problem, but enabling them to operate in
the real world where they will be surrounded by human-driven vehicles (HVs) is extremely …
the real world where they will be surrounded by human-driven vehicles (HVs) is extremely …
Altruistic maneuver planning for cooperative autonomous vehicles using multi-agent advantage actor-critic
With the adoption of autonomous vehicles on our roads, we will witness a mixed-autonomy
environment where autonomous and human-driven vehicles must learn to co-exist by …
environment where autonomous and human-driven vehicles must learn to co-exist by …
[HTML][HTML] Multi-agent reinforcement learning for autonomous vehicles: A survey
In the near future, autonomous vehicles (AVs) may cohabit with human drivers in mixed
traffic. This cohabitation raises serious challenges, both in terms of traffic flow and individual …
traffic. This cohabitation raises serious challenges, both in terms of traffic flow and individual …
Social behavior for autonomous vehicles
W Schwarting, A Pierson… - Proceedings of the …, 2019 - National Acad Sciences
Deployment of autonomous vehicles on public roads promises increased efficiency and
safety. It requires understanding the intent of human drivers and adapting to their driving …
safety. It requires understanding the intent of human drivers and adapting to their driving …
Efficient game-theoretic planning with prediction heuristic for socially-compliant autonomous driving
Planning under social interactions with other agents is an essential problem for autonomous
driving. As the actions of the autonomous vehicle in the interactions affect and are also …
driving. As the actions of the autonomous vehicle in the interactions affect and are also …
Cooperative autonomous vehicles that sympathize with human drivers
Widespread adoption of autonomous vehicles will not become a reality until solutions are
developed that enable these intelligent agents to co-exist with humans. This includes safely …
developed that enable these intelligent agents to co-exist with humans. This includes safely …
[HTML][HTML] Multi-agent reinforcement learning for cooperative lane changing of connected and autonomous vehicles in mixed traffic
Autonomous driving has attracted significant research interests in the past two decades as it
offers many potential benefits, including releasing drivers from exhausting driving and …
offers many potential benefits, including releasing drivers from exhausting driving and …
Cooperation-aware reinforcement learning for merging in dense traffic
Decision making in dense traffic can be challenging for autonomous vehicles. An
autonomous system only relying on predefined road priorities and considering other drivers …
autonomous system only relying on predefined road priorities and considering other drivers …
Toward personalized decision making for autonomous vehicles: a constrained multi-objective reinforcement learning technique
Reinforcement learning promises to provide a state-of-the-art solution to the decision
making problem of autonomous driving. Nonetheless, numerous real-world decision making …
making problem of autonomous driving. Nonetheless, numerous real-world decision making …