Cover Image

Designing Dynamic Pricing for Bike-sharing Systems via Differentiable Agent-based Simulation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mitomi, Tatsuya, Makinoshima, Fumiyasu, Makihara, Fumiya, Segawa, Eigo
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fully Data-driven but Interpretable Human Behavioural Modelling with Differentiable Discrete Choice Model
by: Makinoshima, Fumiyasu, et al.
Published: (2024)

Ultra-fast Traffic Nowcasting and Control via Differentiable Agent-based Simulation
by: Makinoshima, Fumiyasu, et al.
Published: (2026)

OFA-MAS: One-for-All Multi-Agent System Topology Design based on Mixture-of-Experts Graph Generative Models
by: Li, Shiyuan, et al.
Published: (2026)

Dynamic Pricing in High-Speed Railways Using Multi-Agent Reinforcement Learning
by: Villarrubia-Martin, Enrique Adrian, et al.
Published: (2025)

Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
by: Zhang, Guibin, et al.
Published: (2024)

Competitive Multi-Operator Reinforcement Learning for Joint Pricing and Fleet Rebalancing in AMoD Systems
by: Toft, Emil Kragh, et al.
Published: (2026)

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics
by: Hazra, Somnath, et al.
Published: (2025)

The Value of Variance: Mitigating Debate Collapse in Multi-Agent Systems via Uncertainty-Driven Policy Optimization
by: Tang, Luoxi, et al.
Published: (2026)

Governance-Aware Agent Telemetry for Closed-Loop Enforcement in Multi-Agent AI Systems
by: Pathak, Anshul, et al.
Published: (2026)

Automatic Construction of Clinical Scoring Systems with LLM Agents
by: Estévez, Silas Ruhrberg, et al.
Published: (2026)

Conformal Off-Policy Prediction for Multi-Agent Systems
by: Kuipers, Tom, et al.
Published: (2024)

LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra
by: Karten, Seth, et al.
Published: (2025)

MasRouter: Learning to Route LLMs for Multi-Agent Systems
by: Yue, Yanwei, et al.
Published: (2025)

Multi-Agent Systems are Mixtures of Experts: Who Becomes an Influencer?
by: Bause, Franka, et al.
Published: (2026)

Graph Attention Inference of Network Topology in Multi-Agent Systems
by: Kolli, Akshay, et al.
Published: (2024)

Approximate Global Convergence of Independent Learning in Multi-Agent Systems
by: Jin, Ruiyang, et al.
Published: (2024)

Multi-Agent Coordination via Multi-Level Communication
by: Ding, Ziluo, et al.
Published: (2022)

Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems
by: Suau, Miguel, et al.
Published: (2022)

Hierarchical Lead Critic based Multi-Agent Reinforcement Learning
by: Eckel, David, et al.
Published: (2026)

Communication Learning in Multi-Agent Systems from Graph Modeling Perspective
by: Hu, Shengchao, et al.
Published: (2024)

Transfer in Reinforcement Learning via Regret Bounds for Learning Agents
by: Tuynman, Adrienne, et al.
Published: (2022)

GoAgent: Group-of-Agents Communication Topology Generation for LLM-based Multi-Agent Systems
by: Chen, Hongjiang, et al.
Published: (2026)

Human-Flow Digital Twin for Predicting the Effects of Mobility Introduction on Visitor Circulation
by: Shima, Chiharu, et al.
Published: (2026)

CRADLE: Conversational RTL Design Space Exploration with LLM-based Multi-Agent Systems
by: Krupp, Lukas, et al.
Published: (2025)

Learning to Coordinate via Quantum Entanglement in Multi-Agent Reinforcement Learning
by: Gardiner, John, et al.
Published: (2026)

Cooperative Multi-Agent Learning for Navigation via Structured State Abstraction
by: Abdelaziz, Mohamed K., et al.
Published: (2023)

DiffeoMorph: Learning to Morph 3D Shapes Using Differentiable Agent-Based Simulations
by: Pahng, Seong Ho, et al.
Published: (2025)

Emergence of Hierarchies in Multi-Agent Self-Organizing Systems Pursuing a Joint Objective
by: Chen, Gang, et al.
Published: (2025)

Learning Incentive Structures for Cooperative Resilience in Multi-Agent Systems under Social Dilemmas
by: Chacon-Chamorro, Manuela, et al.
Published: (2026)

Towards Better Sample Efficiency in Multi-Agent Reinforcement Learning via Exploration
by: Baghi, Amir, et al.
Published: (2025)

Distributed Differentiable Dynamic Game for Multi-robot Coordination
by: Zhou, Yizhi, et al.
Published: (2022)

Multi-Agent Training-free Urban Food Delivery System using Resilient UMST Network
by: Hasan, Md Nahid, et al.
Published: (2026)

Sample-Efficient Distributionally Robust Multi-Agent Reinforcement Learning via Online Interaction
by: Farhat, Zain Ulabedeen, et al.
Published: (2025)

Trust-based Consensus in Multi-Agent Reinforcement Learning Systems
by: Fung, Ho Long, et al.
Published: (2022)

Ready from Day 1: Population-Aware Coordination for Large-Scale Constrained Multi-Agent Systems
by: Wang, Angel, et al.
Published: (2026)

On the Principles behind Opinion Dynamics in Multi-Agent Systems of Large Language Models
by: Cisneros-Velarde, Pedro
Published: (2024)

Coupling Agent-based Modeling and Life Cycle Assessment to Analyze Trade-offs in Resilient Energy Transitions
by: Zhang, Beichen, et al.
Published: (2025)

G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
by: Zhang, Guibin, et al.
Published: (2024)

Quality or Quantity? Error-Informed Selective Online Learning with Gaussian Processes in Multi-Agent Systems: Extended Version
by: Yang, Zewen, et al.
Published: (2026)

CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness
by: Song, Shoucheng, et al.
Published: (2025)