Cover Image

IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jayawardana, Vindula, Freydt, Baptiste, Qu, Ao, Hickert, Cameron, Yan, Zhongxia, Wu, Cathy
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Multiagent Systems Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mitigating Metropolitan Carbon Emissions with Dynamic Eco-driving at Scale
by: Jayawardana, Vindula, et al.
Published: (2024)

A Data-Informed Analysis of Scalable Supervision for Safety in Autonomous Vehicle Fleets
by: Hickert, Cameron, et al.
Published: (2024)

Generalizing Cooperative Eco-driving via Multi-residual Task Learning
by: Jayawardana, Vindula, et al.
Published: (2024)

Multi-residual Mixture of Experts Learning for Cooperative Control in Multi-vehicle Systems
by: Jayawardana, Vindula, et al.
Published: (2025)

Noise-Aware Generative Microscopic Traffic Simulation
by: Jayawardana, Vindula, et al.
Published: (2025)

Multi-Agent Reinforcement Learning-based Cooperative Autonomous Driving in Smart Intersections
by: Yu, Taoyuan, et al.
Published: (2025)

Multi-agent Path Finding for Cooperative Autonomous Driving
by: Yan, Zhongxia, et al.
Published: (2024)

Multi-agent Path Finding for Mixed Autonomy Traffic Coordination
by: Zheng, Han, et al.
Published: (2024)

A Class of Distributed Event-Triggered Average Consensus Algorithms for Multi-Agent Systems
by: Xu, Ping, et al.
Published: (2019)

Multi-Agent Reinforcement Learning for UAV-Based Chemical Plume Source Localization
by: Li, Zhirun, et al.
Published: (2026)

Multi-Agent Reinforcement Learning for Multi-Cell Spectrum and Power Allocation
by: Zhang, Yiming, et al.
Published: (2023)

Transformer-Based Scalable Multi-Agent Reinforcement Learning for Networked Systems with Long-Range Interactions
by: Sinha, Vidur, et al.
Published: (2025)

WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control
by: Monroc, Claire Bizon, et al.
Published: (2025)

MARLIN: Multi-Agent Reinforcement Learning with Murmuration Intelligence and LLM Guidance for Reservoir Management
by: Fu, Heming, et al.
Published: (2025)

Reinforcement Learning Aided Sequential Optimization for Unsignalized Intersection Management of Robot Traffic
by: G., Nishchal Hoysal, et al.
Published: (2023)

Robust Cooperative Multi-Agent Reinforcement Learning:A Mean-Field Type Game Perspective
by: Zaman, Muhammad Aneeq uz, et al.
Published: (2024)

Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
by: Sebastian, Eduardo, et al.
Published: (2023)

Partial Attention in Deep Reinforcement Learning for Safe Multi-Agent Control
by: Mohaya, Turki Bin, et al.
Published: (2026)

Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety
by: Choi, Jason J., et al.
Published: (2025)

Graphon Mean-Field Control for Cooperative Multi-Agent Reinforcement Learning
by: Hu, Yuanquan, et al.
Published: (2022)

A Robust Cooperative Vehicle Coordination Framework for Intersection Crossing
by: Bai, Haojie, et al.
Published: (2025)

Hamilton's Rule for Enabling Altruism in Multi-Agent Systems
by: Butler, Brooks A., et al.
Published: (2025)

The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning
by: Baheri, Ali, et al.
Published: (2024)

Effect of Graph Gluing on Consensus in Networked Multi-Agent Systems
by: Moghadam, Rohollah, et al.
Published: (2026)

Robust Multi-Agent Decision-Making in Finite-Population Games
by: Park, Shinkyu, et al.
Published: (2025)

Fully Byzantine-Resilient Distributed Multi-Agent Q-Learning
by: Lee, Haejoon, et al.
Published: (2026)

Toward Goal-Oriented Communication in Multi-Agent Systems: An overview
by: Charalambous, Themistoklis, et al.
Published: (2025)

Heterogeneous Multi-Agent Task-Assignment with Uncertain Execution Times and Preferences
by: Wei, Qinshuang, et al.
Published: (2025)

Balancing Specialization and Centralization: A Multi-Agent Reinforcement Learning Benchmark for Sequential Industrial Control
by: Maus, Tom, et al.
Published: (2025)

Distributed Quasi-Newton Method for Multi-Agent Optimization
by: Shorinwa, Ola, et al.
Published: (2024)

Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)

Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid Control
by: Zhang, Yan, et al.
Published: (2025)

Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
by: Hoppe, Heiko, et al.
Published: (2023)

Multi-Agent Temporal Logic Planning via Penalty Functions and Block-Coordinate Optimization
by: Vlahakis, Eleftherios E., et al.
Published: (2026)

Prioritize Team Actions: Multi-Agent Temporal Logic Task Planning with Ordering Constraints
by: Ye, Bowen, et al.
Published: (2024)

CASCADE: Cascaded Scoped Communication for Multi-Agent Re-planning in Disrupted Industrial Environments
by: Bi, Mingjie
Published: (2026)

Adaptive Event-Triggered Policy Gradient for Multi-Agent Reinforcement Learning
by: Siddique, Umer, et al.
Published: (2025)

Second Order State Hallucinations for Adversarial Attack Mitigation in Formation Control of Multi-Agent Systems
by: Patel, Laksh, et al.
Published: (2025)

Heterogeneous Risk Management Using a Multi-Agent Framework for Supply Chain Disruption Response
by: Bi, Mingjie, et al.
Published: (2025)

Integrating Transit Signal Priority into Multi-Agent Reinforcement Learning based Traffic Signal Control
by: Kwesiga, Dickness Kakitahi, et al.
Published: (2024)