Skip to content
conftrace_
2023 AAAI AAAI 2023

Enhancing Smart, Sustainable Mobility with Game Theory and Multi-Agent Reinforcement Learning With Applications to Ridesharing

Abstract

Abstract We propose the use of game-theoretic solutions and multi- agent Reinforcement Learning in the mechanism design of smart, sustainable mobility services. In particular, we present applications to ridesharing as an example of a cost game.

Authors

Lucia Cipolina-Kun

Topics

Reinforcement Learning > Methods > Multi-Agent Systems Reinforcement Learning > Applications > Game AI

Keywords

multi-agent reinforcement learning game theory mechanism design
Download PDF

More from AAAI 2023

All AAAI 2023 papers →
Probabilistic Shape Models of Anatomy Directly from Images
Modeling Strategies as Programs: How to Study Strategy Differences in Intelligent Systems with Program Synthesis
Non-exponential Reward Discounting in Reinforcement Learning
Assessing Learned Representations under Open-World Novelty
Efficient Non-parametric Neural Density Estimation and Its Application to Outlier and Anomaly Detection
Explaining the Uncertainty in AI-Assisted Decision Making