Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Hoppe, Heiko, Enders, Tobias, Cappart, Quentin, Schiffer, Maximilian |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multi-Agent Soft Actor-Critic with Coordinated Loss for Autonomous Mobility-on-Demand Fleet Control
by: Woywood, Zeno, et al.
Published: (2024)
by: Woywood, Zeno, et al.
Published: (2024)
Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts
by: Enders, Tobias, et al.
Published: (2024)
by: Enders, Tobias, et al.
Published: (2024)
Transformer-Based Scalable Multi-Agent Reinforcement Learning for Networked Systems with Long-Range Interactions
by: Sinha, Vidur, et al.
Published: (2025)
by: Sinha, Vidur, et al.
Published: (2025)
The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning
by: Baheri, Ali, et al.
Published: (2024)
by: Baheri, Ali, et al.
Published: (2024)
WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control
by: Monroc, Claire Bizon, et al.
Published: (2025)
by: Monroc, Claire Bizon, 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)
by: Maus, Tom, et al.
Published: (2025)
Optimization and Learning in Open Multi-Agent Systems
by: Deplano, Diego, et al.
Published: (2025)
by: Deplano, Diego, et al.
Published: (2025)
Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
by: Xu, Jianye, et al.
Published: (2024)
by: Xu, Jianye, et al.
Published: (2024)
Learning Team-Based Navigation: A Review of Deep Reinforcement Learning Techniques for Multi-Agent Pathfinding
by: Chung, Jaehoon, et al.
Published: (2023)
by: Chung, Jaehoon, et al.
Published: (2023)
Major-Minor Mean Field Multi-Agent Reinforcement Learning
by: Cui, Kai, et al.
Published: (2023)
by: Cui, Kai, et al.
Published: (2023)
Multi-Agent Based Transfer Learning for Data-Driven Air Traffic Applications
by: Deng, Chuhao, et al.
Published: (2024)
by: Deng, Chuhao, et al.
Published: (2024)
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
by: Jayawardana, Vindula, et al.
Published: (2024)
by: Jayawardana, Vindula, et al.
Published: (2024)
Community-based Multi-Agent Reinforcement Learning with Transfer and Active Exploration
by: Shi, Zhaoyang
Published: (2025)
by: Shi, Zhaoyang
Published: (2025)
Learning Probabilistic Responsibility Allocations for Multi-Agent Interactions
by: Remy, Isaac, et al.
Published: (2026)
by: Remy, Isaac, et al.
Published: (2026)
Preference-Guided Learning for Sparse-Reward Multi-Agent Reinforcement Learning
by: Bui, The Viet, et al.
Published: (2025)
by: Bui, The Viet, et al.
Published: (2025)
Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive Targets
by: Covone, Stefano, et al.
Published: (2025)
by: Covone, Stefano, et al.
Published: (2025)
ROMA-iQSS: An Objective Alignment Approach via State-Based Value Learning and ROund-Robin Multi-Agent Scheduling
by: Lin, Chi-Hui, et al.
Published: (2024)
by: Lin, Chi-Hui, et al.
Published: (2024)
Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration
by: Guo, Xudong, et al.
Published: (2024)
by: Guo, Xudong, et al.
Published: (2024)
Adaptive Swarm Mesh Refinement using Deep Reinforcement Learning with Local Rewards
by: Freymuth, Niklas, et al.
Published: (2024)
by: Freymuth, Niklas, et al.
Published: (2024)
Population-aware Online Mirror Descent for Mean-Field Games with Common Noise by Deep Reinforcement Learning
by: Wu, Zida, et al.
Published: (2025)
by: Wu, Zida, et al.
Published: (2025)
Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning
by: Hu, Yi, et al.
Published: (2023)
by: Hu, Yi, et al.
Published: (2023)
Cluster-Based Multi-Agent Task Scheduling for Space-Air-Ground Integrated Networks
by: Wang, Zhiying, et al.
Published: (2024)
by: Wang, Zhiying, et al.
Published: (2024)
Sensor to Pixels: Decentralized Swarm Gathering via Image-Based Reinforcement Learning
by: Koifman, Yigal, et al.
Published: (2026)
by: Koifman, Yigal, et al.
Published: (2026)
Peer-to-Peer Energy Trading of Solar and Energy Storage: A Networked Multiagent Reinforcement Learning Approach
by: Feng, Chen, et al.
Published: (2024)
by: Feng, Chen, et al.
Published: (2024)
Logarithmically Quantized Distributed Optimization over Dynamic Multi-Agent Networks
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)
Reliability and Effectiveness of Autonomous AI Agents in Supply Chain Management
by: Long, Carol Xuan, et al.
Published: (2026)
by: Long, Carol Xuan, et al.
Published: (2026)
Decentralized Coordination of Distributed Energy Resources through Local Energy Markets and Deep Reinforcement Learning
by: May, Daniel, et al.
Published: (2024)
by: May, Daniel, et al.
Published: (2024)
A Survey of Multi-Agent Deep Reinforcement Learning with Communication
by: Zhu, Changxi, et al.
Published: (2022)
by: Zhu, Changxi, et al.
Published: (2022)
Multi-Agent Reinforcement Learning-based Cooperative Autonomous Driving in Smart Intersections
by: Yu, Taoyuan, et al.
Published: (2025)
by: Yu, Taoyuan, et al.
Published: (2025)
Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control under Switching Topologies
by: Yang, Zewen, et al.
Published: (2024)
by: Yang, Zewen, et al.
Published: (2024)
Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning
by: Zhang, Zhiyao, et al.
Published: (2025)
by: Zhang, Zhiyao, et al.
Published: (2025)
A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control
by: Satheesh, Anirudh, et al.
Published: (2025)
by: Satheesh, Anirudh, et al.
Published: (2025)
Partial Attention in Deep Reinforcement Learning for Safe Multi-Agent Control
by: Mohaya, Turki Bin, et al.
Published: (2026)
by: Mohaya, Turki Bin, et al.
Published: (2026)
Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control
by: Duan, Wenchang, et al.
Published: (2024)
by: Duan, Wenchang, et al.
Published: (2024)
Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives
by: Zhang, Qixin, et al.
Published: (2025)
by: Zhang, Qixin, et al.
Published: (2025)
Approximate Global Convergence of Independent Learning in Multi-Agent Systems
by: Jin, Ruiyang, et al.
Published: (2024)
by: Jin, Ruiyang, et al.
Published: (2024)
Multi-Agent Reinforcement Learning for Sample-Efficient Deep Neural Network Mapping
by: Krishnan, Srivatsan, et al.
Published: (2025)
by: Krishnan, Srivatsan, et al.
Published: (2025)
SAFE--MA--RRT: Multi-Agent Motion Planning with Data-Driven Safety Certificates
by: Esmaeili, Babak, et al.
Published: (2025)
by: Esmaeili, Babak, et al.
Published: (2025)
Collision Avoidance Verification of Multiagent Systems with Learned Policies
by: Dong, Zihao, et al.
Published: (2024)
by: Dong, Zihao, et al.
Published: (2024)
Similar Items
-
Multi-Agent Soft Actor-Critic with Coordinated Loss for Autonomous Mobility-on-Demand Fleet Control
by: Woywood, Zeno, et al.
Published: (2024) -
Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts
by: Enders, Tobias, et al.
Published: (2024) -
Transformer-Based Scalable Multi-Agent Reinforcement Learning for Networked Systems with Long-Range Interactions
by: Sinha, Vidur, et al.
Published: (2025) -
The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning
by: Baheri, Ali, et al.
Published: (2024) -
WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control
by: Monroc, Claire Bizon, et al.
Published: (2025)