过去一年中添加的文章，按日期排序
Application of Intelligent Self-Organizing Algorithms in UAV Cooperative Inspection of Power Distribution Networks
Z Sun, J Liao - Frontiers in Energy Research - frontiersin.org
9 天前 - … By leveraging the capabilities of MARL for dynamic decision-making, SOM for efficient
… benchmark for future developments in autonomous infrastructure monitoring, highlighting …
… benchmark for future developments in autonomous infrastructure monitoring, highlighting …
GTP-UDrive: Unified Game-Theoretic Trajectory Planner and Decision-Maker for Autonomous Driving in Mixed Traffic Environments
9 天前 - … Which behavior should autonomous vehicles exhibit to … on instances where
autonomous vehicles display behavior that … autonomous vehicles with an efficient decision-making …
autonomous vehicles display behavior that … autonomous vehicles with an efficient decision-making …
[PDF][PDF] Journal of Nonlinear Analysis and Optimization
AVS Sushma, C Chandini, C Disari, A Bhavana… - jnao-nu.com
9 天前 - … vehicle's environment, making informed decisions to avoid collisions. In real-time
decisionmaking, … , a cutting-edge autonomous vehicle navigation system designed to meet the …
decisionmaking, … , a cutting-edge autonomous vehicle navigation system designed to meet the …
Online Motion Planning for Autonomous Mechatronic Systems with Model Predictive Control
M Bos - 2024 - lirias.kuleuven.be
9 天前 - … This thesis aims at making the MPC methodology more suitable for the online motion
… types of autonomous vehicles: agile drone flight, truck-trailer autonomous mobile robot …
… types of autonomous vehicles: agile drone flight, truck-trailer autonomous mobile robot …
Developing Lane-changing Strategy of Autonomous Vehicles Based on Deep Reinforcement Learning Using Long-range Information for Mitigating Traffic Congestion
D MIN, H YUN, DK KIM - Journal of the Eastern Asia Society for …, 2024 - jstage.jst.go.jp
10 天前 - … decisions of lane-changing are made based on the given spatial boundary of
information. We compare the speed of the ego-vehicle and its upstream vehicles … decision makers. …
information. We compare the speed of the ego-vehicle and its upstream vehicles … decision makers. …
DRL-Based Federated Learning for Efficient Vehicular Caching Management
10 天前 - … for the DRL-based decision-making for caching management, … vehicles (UAVs),
and vehicles equipped with historical data. We tackle the challenges posed by varying vehicle …
and vehicles equipped with historical data. We tackle the challenges posed by varying vehicle …
Considering Cyclists' Aggressiveness and Bounded Rationality: A Self-learning Motion Prediction Model for Cyclists
10 天前 - … ccurate prediction of bicycle motions is essential for the safe operation of autonomous
vehicles (AVs), given their frequent and complex interactions with bicycles [1]. However, …
vehicles (AVs), given their frequent and complex interactions with bicycles [1]. However, …
Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing
X Zhao, Y Zhang, X Zhang, Y Yang, Y Xie, Y Li… - arXiv preprint arXiv …, 2024 - arxiv.org
10 天前 - … ride-sharing vehicle dispatching, public transportation management, and autonomous
… a certain task 𝑖, we aim to learn the urban decisionmaking policy 𝜋(𝑎 | 𝒔,𝑖) for every …
… a certain task 𝑖, we aim to learn the urban decisionmaking policy 𝜋(𝑎 | 𝒔,𝑖) for every …
Advantage Alignment Algorithms
10 天前 - … agents in everyday decision-making, from LLM assistants to autonomous vehicles,
hints … systems seamlessly integrate in everyday decision making. These systems often act in …
hints … systems seamlessly integrate in everyday decision making. These systems often act in …
A Decision-Making GPT Model Augmented with Entropy Regularization for Autonomous Vehicles
10 天前 - … the decision-making problem for autonomous vehicles as a sequence modeling
and prediction task, utilizing the GPT model. • We introduce an improved decision-making GPT …
and prediction task, utilizing the GPT model. • We introduce an improved decision-making GPT …