Reinforcement Learning for Sustainable Mobility: Modeling Pedalcoin, a Gamified Biking Application
Auteurs
Bhattacharya S., Gharsallaoui O., Tchappi I., Najjar A.
Référence
ACM International Conference Proceeding Series, pp. 461-463, 2023
Description
The paper presents Pedalcoin, a decentralized application that incentivizes sustainable transportation and promotes cycling through a blockchain-based reward system. It investigates how Pedalcoin leverages concepts from blockchain, multi-agent systems, and reinforcement learning to drive large-scale sustainable behavior changes through gamified incentives and decentralized optimization of agent policies towards greater rewards. The dynamics of this system lead to increased cycling and reduced automobile usage organically through positive reinforcement, benefiting the environment.
