Copertina

Diffusion-Reinforcement Learning Hierarchical Motion Planning in Multi-agent Adversarial Games

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wu, Zixuan, Ye, Sean, Natarajan, Manisha, Gombolay, Matthew C.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Robotics Machine Learning Multiagent Systems
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Diffusion Models for Multi-target Adversarial Tracking
di: Ye, Sean, et al.
Pubblicazione: (2023)

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization
di: Ho, Brandon, et al.
Pubblicazione: (2025)

Interactive Distillation for Cooperative Multi-Agent Reinforcement Learning
di: Cho, Minwoo, et al.
Pubblicazione: (2026)

SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
di: Xu, Jianye, et al.
Pubblicazione: (2024)

Transformer-based Multi-agent Reinforcement Learning for Separation Assurance in Structured and Unstructured Airspaces
di: Aziz, Arsyi, et al.
Pubblicazione: (2026)

SafeDiver: Cooperative AUV-USV Assisted Diver Communication via Multi-agent Reinforcement Learning Approach
di: Deng, Tinglong, et al.
Pubblicazione: (2025)

Population-aware Online Mirror Descent for Mean-Field Games with Common Noise by Deep Reinforcement Learning
di: Wu, Zida, et al.
Pubblicazione: (2025)

Enhancing Aerial Combat Tactics through Hierarchical Multi-Agent Reinforcement Learning
di: Selmonaj, Ardian, et al.
Pubblicazione: (2025)

Distributed Area Coverage with High Altitude Balloons Using Multi-Agent Reinforcement Learning
di: Haroon, Adam, et al.
Pubblicazione: (2025)

Hypergraph-based Motion Generation with Multi-modal Interaction Relational Reasoning
di: Wu, Keshu, et al.
Pubblicazione: (2024)

Efficient Multi-agent Reinforcement Learning by Planning
di: Liu, Qihan, et al.
Pubblicazione: (2024)

MAGNNET: Multi-Agent Graph Neural Network-based Efficient Task Allocation for Autonomous Vehicles with Deep Reinforcement Learning
di: Ratnabala, Lavanya, et al.
Pubblicazione: (2025)

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

ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning
di: Yu, Xin, et al.
Pubblicazione: (2023)

Mixed-Reality Digital Twins: Leveraging the Physical and Virtual Worlds for Hybrid Sim2Real Transition of Multi-Agent Reinforcement Learning Policies
di: Samak, Chinmay Vilas, et al.
Pubblicazione: (2024)

A Reinforcement Learning Approach to Quiet and Safe UAM Traffic Management
di: Murthy, Surya, et al.
Pubblicazione: (2025)

Improving Generalization in Reinforcement Learning Training Regimes for Social Robot Navigation
di: Sigal, Adam, et al.
Pubblicazione: (2023)

SAFE--MA--RRT: Multi-Agent Motion Planning with Data-Driven Safety Certificates
di: Esmaeili, Babak, et al.
Pubblicazione: (2025)

Cooperative Target Detection with AUVs: A Dual-Timescale Hierarchical MARDL Approach
di: Xueyao, Zhang, et al.
Pubblicazione: (2025)

Deep Reinforcement Learning for Multi-Agent Coordination
di: Aina, Kehinde O., et al.
Pubblicazione: (2025)

A Reinforcement Learning Inspired Latent Yield Based Adaptive Algorithm Switching Mechanism
di: Nair, Jayprakash S., et al.
Pubblicazione: (2026)

Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers
di: Krnjaic, Aleksandar, et al.
Pubblicazione: (2022)

Strategic Coordination of Drones via Short-term Distributed Optimization and Long-term Reinforcement Learning
di: Qin, Chuhao, et al.
Pubblicazione: (2023)

Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning
di: Bettini, Matteo, et al.
Pubblicazione: (2024)

Cross-Modal Navigation with Multi-Agent Reinforcement Learning
di: Liu, Shuo, et al.
Pubblicazione: (2026)

Curriculum Imitation Learning of Distributed Multi-Robot Policies
di: Roche, Jesús, et al.
Pubblicazione: (2025)

Diffusion-Guided Multi-Arm Motion Planning
di: Parimi, Viraj, et al.
Pubblicazione: (2025)

Assessing behaviour coverage in a multi-agent system simulation for autonomous vehicle testing
di: Franco-Vivo, Manuel
Pubblicazione: (2025)

Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning
di: Gerstgrasser, Matthias, et al.
Pubblicazione: (2023)

Learning responsibility allocations for multi-agent interactions: A differentiable optimization approach with control barrier functions
di: Remy, Isaac, et al.
Pubblicazione: (2024)

Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
di: Tang, Huijie, et al.
Pubblicazione: (2024)

LEARN: Learning End-to-End Aerial Resource-Constrained Multi-Robot Navigation
di: Chiu, Darren, et al.
Pubblicazione: (2025)

Redistributing Rewards Across Time and Agents for Multi-Agent Reinforcement Learning
di: Kapoor, Aditya, et al.
Pubblicazione: (2025)

Superhuman Safe and Agile Racing through Multi-Agent Reinforcement Learning
di: Geles, Ismail, et al.
Pubblicazione: (2026)

Decentralized Diffusion Policy Learning for Enhanced Exploration in Cooperative Multi-agent Reinforcement Learning
di: Zhang, Yuyang, et al.
Pubblicazione: (2026)

Strategic Coordination for Evolving Multi-agent Systems: A Hierarchical Reinforcement and Collective Learning Approach
di: Qin, Chuhao, et al.
Pubblicazione: (2025)

Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds
di: Chandra, Rohan, et al.
Pubblicazione: (2024)

Effective Game-Theoretic Motion Planning via Nested Search
di: Engle, Avishav, et al.
Pubblicazione: (2025)

TAB-Fields: A Maximum Entropy Framework for Mission-Aware Adversarial Planning
di: Puthumanaillam, Gokul, et al.
Pubblicazione: (2024)

Innate-Values-driven Reinforcement Learning based Cooperative Multi-Agent Cognitive Modeling
di: Yang, Qin
Pubblicazione: (2024)