159 citations · 492 across the 75 of their papers we have counts for
4 papers · 1 filter
A Microscopic Epidemic Model and Pandemic Prediction Using Multi-Agent Reinforcement Learning
Changliu Liu
This paper introduces a microscopic approach to model epidemics, which can explicitly consider the consequences of individual's decisions on the spread of the disease. We first for…
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning
Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu +3
Recent developments in multi-agent imitation learning have shown promising results for modeling the behavior of human drivers. However, it is challenging to capture emergent traffi…
Analyzing Traffic Delay at Unmanaged Intersections
Changliu Liu, Mykel J. Kochenderfer
At an unmanaged intersection, it is important to understand how much traffic delay may be caused as a result of microscopic vehicle interactions. Conventional traffic simulations t…
Analytically Modeling Unmanaged Intersections with Microscopic Vehicle Interactions
Changliu Liu, Mykel J. Kochenderfer
With the emergence of autonomous vehicles, it is important to understand their impact on the transportation system. However, conventional traffic simulations are time-consuming. In…