Performance Prediction of Hub-Based Swarms
Fuente:
arXiv
Saved in:
| Main Authors: | Jain, Puneet, Dwivedi, Chaitanya, Bhatt, Vigynesh, Smith, Nick, Goodrich, Michael A |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Flexible Swarm Learning May Outpace Foundation Models in Essential Tasks
by: Samadi, Moein E., et al.
Published: (2025)
by: Samadi, Moein E., et al.
Published: (2025)
Bounded Coupled AI Learning Dynamics in Tri-Hierarchical Drone Swarms
by: Bychkov, Oleksii
Published: (2026)
by: Bychkov, Oleksii
Published: (2026)
LoopBench: Discovering Emergent Symmetry Breaking Strategies with LLM Swarms
by: Parsaee, Ali, et al.
Published: (2025)
by: Parsaee, Ali, et al.
Published: (2025)
Signaling and Social Learning in Swarms of Robots
by: Cazenille, Leo, et al.
Published: (2024)
by: Cazenille, Leo, et al.
Published: (2024)
DynaSwarm: Dynamically Graph Structure Selection for LLM-based Multi-agent System
by: Leong, Hui Yi, et al.
Published: (2025)
by: Leong, Hui Yi, et al.
Published: (2025)
Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm
by: Kim, Hyeonjun, et al.
Published: (2025)
by: Kim, Hyeonjun, et al.
Published: (2025)
Distributed Autonomous Swarm Formation for Dynamic Network Bridging
by: Galliera, Raffaele, et al.
Published: (2024)
by: Galliera, Raffaele, et al.
Published: (2024)
GLOW: Graph-Language Co-Reasoning for Agentic Workflow Performance Prediction
by: Guan, Wei, et al.
Published: (2025)
by: Guan, Wei, et al.
Published: (2025)
Communication-Free Collective Navigation for a Swarm of UAVs via LiDAR-Based Deep Reinforcement Learning
by: Choi, Myong-Yol, et al.
Published: (2026)
by: Choi, Myong-Yol, et al.
Published: (2026)
Pairwise is Not Enough: Hypergraph Neural Networks for Multi-Agent Pathfinding
by: Jain, Rishabh, et al.
Published: (2026)
by: Jain, Rishabh, et al.
Published: (2026)
Mathematical Framework for Custom Reward Functions in Job Application Evaluation using Reinforcement Learning
by: Jain, Shreyansh, et al.
Published: (2025)
by: Jain, Shreyansh, et al.
Published: (2025)
Meritocratic Fairness in Budgeted Combinatorial Multi-armed Bandits via Shapley Values
by: Sharma, Shradha, et al.
Published: (2026)
by: Sharma, Shradha, et al.
Published: (2026)
RiskAgent: Synergizing Language Models with Validated Tools for Evidence-Based Risk Prediction
by: Liu, Fenglin, et al.
Published: (2025)
by: Liu, Fenglin, et al.
Published: (2025)
Fortytwo: Swarm Inference with Peer-Ranked Consensus
by: Larin, Vladyslav, et al.
Published: (2025)
by: Larin, Vladyslav, et al.
Published: (2025)
Graph Attention-Guided Search for Dense Multi-Agent Pathfinding
by: Jain, Rishabh, et al.
Published: (2025)
by: Jain, Rishabh, et al.
Published: (2025)
AKIBoards: A Structure-Following Multiagent System for Predicting Acute Kidney Injury
by: Gordon, David, et al.
Published: (2025)
by: Gordon, David, et al.
Published: (2025)
Evaluating and Improving Graph-based Explanation Methods for Multi-Agent Coordination
by: Kailas, Siva, et al.
Published: (2025)
by: Kailas, Siva, et al.
Published: (2025)
Assessing the Impact of Distribution Shift on Reinforcement Learning Performance
by: Fujimoto, Ted, et al.
Published: (2024)
by: Fujimoto, Ted, et al.
Published: (2024)
Sable: a Performant, Efficient and Scalable Sequence Model for MARL
by: Mahjoub, Omayma, et al.
Published: (2024)
by: Mahjoub, Omayma, et al.
Published: (2024)
Optimizing Multi-Lane Intersection Performance in Mixed Autonomy Environments
by: Sekar, Manonmani, et al.
Published: (2025)
by: Sekar, Manonmani, et al.
Published: (2025)
Breaking the Performance Ceiling in Reinforcement Learning requires Inference Strategies
by: Chalumeau, Felix, et al.
Published: (2025)
by: Chalumeau, Felix, et al.
Published: (2025)
MoMA: A Mixture-of-Multimodal-Agents Architecture for Enhancing Clinical Prediction Modelling
by: Gao, Jifan, et al.
Published: (2025)
by: Gao, Jifan, et al.
Published: (2025)
A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning
by: Gu, Hankang, et al.
Published: (2025)
by: Gu, Hankang, et al.
Published: (2025)
Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks
by: Biswas, Arpita, et al.
Published: (2023)
by: Biswas, Arpita, et al.
Published: (2023)
KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs
by: Xie, Yuzhang, et al.
Published: (2025)
by: Xie, Yuzhang, et al.
Published: (2025)
Frontier Coding Agents Can Now Implement an AlphaZero Self-Play Machine Learning Pipeline For Connect Four That Performs Comparably to an External Solver
by: Sherwood, Joshua, et al.
Published: (2026)
by: Sherwood, Joshua, et al.
Published: (2026)
Vital Trace: Protocol-Constrained Patient-State Reasoning for Longitudinal Clinical Trajectories
by: Qu, Zhan, et al.
Published: (2026)
by: Qu, Zhan, et al.
Published: (2026)
STACKFEED: Structured Textual Actor-Critic Knowledge Base Editing with FeedBack
by: Kirtania, Shashank, et al.
Published: (2024)
by: Kirtania, Shashank, et al.
Published: (2024)
Value-Based Rationales Improve Social Experience: A Multiagent Simulation Study
by: Tzeng, Sz-Ting, et al.
Published: (2024)
by: Tzeng, Sz-Ting, et al.
Published: (2024)
On-Time Delivery in Crowdshipping Systems: An Agent-Based Approach Using Streaming Data
by: Dötterl, Jeremias, et al.
Published: (2024)
by: Dötterl, Jeremias, et al.
Published: (2024)
Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems
by: Yang, Huchen, et al.
Published: (2026)
by: Yang, Huchen, et al.
Published: (2026)
OMAC: A Holistic Optimization Framework for LLM-Based Multi-Agent Collaboration
by: Li, Shijun, et al.
Published: (2025)
by: Li, Shijun, et al.
Published: (2025)
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem
by: Barde, Paul, et al.
Published: (2023)
by: Barde, Paul, et al.
Published: (2023)
Improvement of Optimization using Learning Based Models in Mixed Integer Linear Programming Tasks
by: Wang, Xiaoke, et al.
Published: (2025)
by: Wang, Xiaoke, et al.
Published: (2025)
Distributed Multi-Agent Reinforcement Learning Based on Graph-Induced Local Value Functions
by: Jing, Gangshan, et al.
Published: (2022)
by: Jing, Gangshan, et al.
Published: (2022)
When Is Diversity Rewarded in Cooperative Multi-Agent Learning?
by: Amir, Michael, et al.
Published: (2025)
by: Amir, Michael, et al.
Published: (2025)
Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent Systems
by: Yang, Jiaxi, et al.
Published: (2025)
by: Yang, Jiaxi, et al.
Published: (2025)
A Survey of Multi-Agent Deep Reinforcement Learning with Graph Neural Network-Based Communication
by: Cuzin-Rambaud, Valentin, et al.
Published: (2026)
by: Cuzin-Rambaud, Valentin, et al.
Published: (2026)
Scaling Multi-Agent Environment Co-Design with Diffusion Models
by: Li, Hao Xiang, et al.
Published: (2025)
by: Li, Hao Xiang, et al.
Published: (2025)
Large Language Model-Based Reward Design for Deep Reinforcement Learning-Driven Autonomous Cyber Defense
by: Mukherjee, Sayak, et al.
Published: (2025)
by: Mukherjee, Sayak, et al.
Published: (2025)
Similar Items
-
Flexible Swarm Learning May Outpace Foundation Models in Essential Tasks
by: Samadi, Moein E., et al.
Published: (2025) -
Bounded Coupled AI Learning Dynamics in Tri-Hierarchical Drone Swarms
by: Bychkov, Oleksii
Published: (2026) -
LoopBench: Discovering Emergent Symmetry Breaking Strategies with LLM Swarms
by: Parsaee, Ali, et al.
Published: (2025) -
Signaling and Social Learning in Swarms of Robots
by: Cazenille, Leo, et al.
Published: (2024) -
DynaSwarm: Dynamically Graph Structure Selection for LLM-based Multi-agent System
by: Leong, Hui Yi, et al.
Published: (2025)