Social Interaction‐Aware Dynamical Models and Decision‐Making for Autonomous Vehicles
Interaction‐aware autonomous driving (IAAD) is a rapidly growing field of research that
focuses on the development of autonomous vehicles (AVs) that are capable of interacting …
focuses on the development of autonomous vehicles (AVs) that are capable of interacting …
Game theoretic application to intersection management: A literature review
The emergence of vehicle-to-everything (V2X) technology offers new insights into
intersection management. This, however, has also presented new challenges, such as the …
intersection management. This, however, has also presented new challenges, such as the …
Cooperative decision-making for cavs at unsignalized intersections: A marl approach with attention and hierarchical game priors
The development of autonomous vehicles has shown great potential to enhance the
efficiency and safety of transportation systems. However, the decision-making issue in …
efficiency and safety of transportation systems. However, the decision-making issue in …
Autonomous navigation of robots: optimization with DQN
Featured Application The application of “Autonomous Navigation of Robots: Optimization
with DQN” involves using reinforcement learning techniques to optimize the navigation of …
with DQN” involves using reinforcement learning techniques to optimize the navigation of …
A mean-VaR based deep reinforcement learning framework for practical algorithmic trading
B ** - IEEE Access, 2023 - ieeexplore.ieee.org
It is difficult to automatically produce trading signals based on previous transaction data and
the financial status of assets because of the significant noise and unpredictability of capital …
the financial status of assets because of the significant noise and unpredictability of capital …
Automatic parking path planning of tracked vehicle based on improved A* and DWA algorithms
H Yang, X Xu, J Hong - IEEE Transactions on Transportation …, 2022 - ieeexplore.ieee.org
Compared to wheeled vehicles, tracked vehicles have unique advantages in disaster relief
and engineering sites. The working environment of tracked vehicles is mostly in fixed-point …
and engineering sites. The working environment of tracked vehicles is mostly in fixed-point …
Coordination for connected and autonomous vehicles at unsignalized intersections: An iterative learning based collision-free motion planning method
Motion planning and control of connected and autonomous vehicles (CAVs) for improving
traffic efficiency and safety in intersections still meets many challenges due to its dynamic …
traffic efficiency and safety in intersections still meets many challenges due to its dynamic …
Game-Theoretic Driver Modeling and Decision-Making for Autonomous Driving with Temporal-Spatial Attention-Based Deep Q-Learning
The safe and efficient navigation of autonomous vehicles in complex traffic scenarios
remains a significant challenge. One of the key impediments is the limited effectiveness of …
remains a significant challenge. One of the key impediments is the limited effectiveness of …
Autonomous Driving Decision Algorithm for Complex Multi-Vehicle Interactions: An Efficient Approach Based on Global Sorting and Local Gaming
D Li, J Zhang, G Liu - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
For autonomous driving, it is important to develop safe and efficient decision algorithms to
handle multi-vehicle interactions. Game theory is suitable to manage the interactive driving …
handle multi-vehicle interactions. Game theory is suitable to manage the interactive driving …
Learning from Oracle demonstrations—a new approach to develop autonomous intersection management control algorithms based on multiagent deep reinforcement …
Worldwide, many companies are working towards safe and innovative control systems for
Autonomous Vehicles (AVs). A key component is Autonomous Intersection Management …
Autonomous Vehicles (AVs). A key component is Autonomous Intersection Management …