Bounded Coupled AI Learning Dynamics in Tri-Hierarchical Drone Swarms
Fuente:
arXiv
Saved in:
| Main Author: | Bychkov, Oleksii |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
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)
Signaling and Social Learning in Swarms of Robots
by: Cazenille, Leo, et al.
Published: (2024)
by: Cazenille, Leo, et al.
Published: (2024)
Distributed Autonomous Swarm Formation for Dynamic Network Bridging
by: Galliera, Raffaele, et al.
Published: (2024)
by: Galliera, Raffaele, et al.
Published: (2024)
Performance Prediction of Hub-Based Swarms
by: Jain, Puneet, et al.
Published: (2024)
by: Jain, Puneet, et al.
Published: (2024)
Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning
by: He, Zijian, et al.
Published: (2025)
by: He, Zijian, et al.
Published: (2025)
A Hierarchical Hybrid AI Approach: Integrating Deep Reinforcement Learning and Scripted Agents in Combat Simulations
by: Black, Scotty, et al.
Published: (2025)
by: Black, Scotty, et al.
Published: (2025)
LoopBench: Discovering Emergent Symmetry Breaking Strategies with LLM Swarms
by: Parsaee, Ali, et al.
Published: (2025)
by: Parsaee, Ali, et al.
Published: (2025)
Hierarchical Reinforcement Learning for Optimal Agent Grouping in Cooperative Systems
by: Hu, Liyuan
Published: (2025)
by: Hu, Liyuan
Published: (2025)
Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations
by: Seo, Sangwon, et al.
Published: (2025)
by: Seo, Sangwon, et al.
Published: (2025)
Heartbeat-Bound Hierarchical Credentials: Cryptographic Revocation for AI Agent Swarms
by: Deochake, Saurabh
Published: (2026)
by: Deochake, Saurabh
Published: (2026)
HDDLGym: A Tool for Studying Multi-Agent Hierarchical Problems Defined in HDDL with OpenAI Gym
by: La, Ngoc, et al.
Published: (2025)
by: La, Ngoc, 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)
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)
A Hierarchical Framework with Spatio-Temporal Consistency Learning for Emergence Detection in Complex Adaptive Systems
by: Chen, Siyuan, et al.
Published: (2024)
by: Chen, Siyuan, et al.
Published: (2024)
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)
CHAL: Council of Hierarchical Agentic Language
by: Giovannelli, Tommaso, et al.
Published: (2026)
by: Giovannelli, Tommaso, et al.
Published: (2026)
Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning
by: Liao, Wei-Chen, et al.
Published: (2025)
by: Liao, Wei-Chen, 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)
How to Train a Leader: Hierarchical Reasoning in Multi-Agent LLMs
by: Estornell, Andrew, et al.
Published: (2025)
by: Estornell, Andrew, et al.
Published: (2025)
Ready, Bid, Go! On-Demand Delivery Using Fleets of Drones with Unknown, Heterogeneous Energy Storage Constraints
by: Talamali, Mohamed S., et al.
Published: (2025)
by: Talamali, Mohamed S., et al.
Published: (2025)
Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems
by: Lee, Xian Yeow, et al.
Published: (2024)
by: Lee, Xian Yeow, et al.
Published: (2024)
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)
Dynamic Pricing in High-Speed Railways Using Multi-Agent Reinforcement Learning
by: Villarrubia-Martin, Enrique Adrian, et al.
Published: (2025)
by: Villarrubia-Martin, Enrique Adrian, et al.
Published: (2025)
Enhancing Aerial Combat Tactics through Hierarchical Multi-Agent Reinforcement Learning
by: Selmonaj, Ardian, et al.
Published: (2025)
by: Selmonaj, Ardian, et al.
Published: (2025)
Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems
by: Wang, Zhao, et al.
Published: (2025)
by: Wang, Zhao, et al.
Published: (2025)
Using Deep Q-Learning to Dynamically Toggle between Push/Pull Actions in Computational Trust Mechanisms
by: Lygizou, Zoi, et al.
Published: (2024)
by: Lygizou, Zoi, et al.
Published: (2024)
Ranking Joint Policies in Dynamic Games using Evolutionary Dynamics
by: Koliou, Natalia, et al.
Published: (2025)
by: Koliou, Natalia, et al.
Published: (2025)
Dynamic Speculative Agent Planning
by: Guan, Yilin, et al.
Published: (2025)
by: Guan, Yilin, et al.
Published: (2025)
Norm-Governed Multi-Agent Decision-Making in Simulator-Coupled Environments:The Reinsurance Constrained Multi-Agent Simulation Process (R-CMASP)
by: Dong, Stella C.
Published: (2025)
by: Dong, Stella C.
Published: (2025)
Moving Out: Physically-grounded Human-AI Collaboration
by: Kang, Xuhui, et al.
Published: (2025)
by: Kang, Xuhui, et al.
Published: (2025)
pAI/MSc: ML Theory Research with Humans on the Loop
by: Abdelmoneum, Mahmoud, et al.
Published: (2026)
by: Abdelmoneum, Mahmoud, et al.
Published: (2026)
Aligning Compound AI Systems via System-level DPO
by: Wang, Xiangwen, et al.
Published: (2025)
by: Wang, Xiangwen, et al.
Published: (2025)
Hybrid Agentic AI and Multi-Agent Systems in Smart Manufacturing
by: Farahani, Mojtaba A., et al.
Published: (2025)
by: Farahani, Mojtaba A., et al.
Published: (2025)
A Comprehensive Review of AI Agents: Transforming Possibilities in Technology and Beyond
by: Qu, Xiaodong, et al.
Published: (2025)
by: Qu, Xiaodong, et al.
Published: (2025)
Incorporating Human Flexibility through Reward Preferences in Human-AI Teaming
by: Bhambri, Siddhant, et al.
Published: (2023)
by: Bhambri, Siddhant, et al.
Published: (2023)
Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review
by: Wu, Di, et al.
Published: (2025)
by: Wu, Di, et al.
Published: (2025)
Generative AI Against Poaching: Latent Composite Flow Matching for Wildlife Conservation
by: Kong, Lingkai, et al.
Published: (2025)
by: Kong, Lingkai, et al.
Published: (2025)
Learning the Preferences of a Learning Agent
by: Sadek, Karim Abdel, et al.
Published: (2026)
by: Sadek, Karim Abdel, et al.
Published: (2026)
PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing
by: Song, Yiwen, et al.
Published: (2026)
by: Song, Yiwen, et al.
Published: (2026)
Similar Items
-
DynaSwarm: Dynamically Graph Structure Selection for LLM-based Multi-agent System
by: Leong, Hui Yi, et al.
Published: (2025) -
Flexible Swarm Learning May Outpace Foundation Models in Essential Tasks
by: Samadi, Moein E., et al.
Published: (2025) -
Signaling and Social Learning in Swarms of Robots
by: Cazenille, Leo, et al.
Published: (2024) -
Distributed Autonomous Swarm Formation for Dynamic Network Bridging
by: Galliera, Raffaele, et al.
Published: (2024) -
Performance Prediction of Hub-Based Swarms
by: Jain, Puneet, et al.
Published: (2024)