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Found 4 papers, 0 papers with code
Traj-LLM: A New Exploration for Empowering Trajectory Prediction with Pre-trained Large Language Models
Predicting the future trajectories of dynamic traffic actors is a cornerstone task in autonomous driving.
Human-in-the-loop Learning for Dynamic Congestion Games
To address this, we focus on informational (non-monetary) mechanisms as they are easier to implement than pricing.
Finding and Exploring Promising Search Space for the 0-1 Multidimensional Knapsack Problem
It maintains a set of solutions and utilizes the information from the population to extract good partial assignments.
Online Pricing Incentive to Sample Fresh Information
To motivate drivers to route and sample diverse paths, this paper is the first to propose online pricing for a provider to economically reward drivers for diverse routing and control the actual AoI dynamics over time and spatial path domains.
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