Cover Image

Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hsu, Hao-Lun, Wang, Weixin, Pajic, Miroslav, Xu, Pan
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ε-Neural Thompson Sampling of Deep Brain Stimulation for Parkinson Disease Treatment
by: Hsu, Hao-Lun, et al.
Published: (2024)

NNiT: Width-Agnostic Neural Network Generation with Structurally Aligned Weight Spaces
by: Kim, Jiwoo, et al.
Published: (2026)

Optimistic ε-Greedy Exploration for Cooperative Multi-Agent Reinforcement Learning
by: Zhang, Ruoning, et al.
Published: (2025)

Adaptive Policy Selection and Fine-Tuning under Interaction Budgets for Offline-to-Online Reinforcement Learning
by: Bozkurt, Alper Kamil, et al.
Published: (2026)

Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning
by: Bozkurt, Alper Kamil, et al.
Published: (2019)

Upper and Lower Bounds for Distributionally Robust Off-Dynamics Reinforcement Learning
by: Liu, Zhishuai, et al.
Published: (2024)

Model-Free Learning of Safe yet Effective Controllers
by: Bozkurt, Alper Kamil, et al.
Published: (2021)

AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning
by: Zhou, Guangchong, et al.
Published: (2024)

Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration
by: Kontogiannis, Andreas, et al.
Published: (2025)

Semantic Area Graph Reasoning for Multi-Robot Language-Guided Search
by: Wang, Ruiyang, et al.
Published: (2026)

The Composite Task Challenge for Cooperative Multi-Agent Reinforcement Learning
by: Li, Yurui, et al.
Published: (2025)

Sample Complexity of Distributionally Robust Off-Dynamics Reinforcement Learning with Online Interaction
by: He, Yiting, et al.
Published: (2025)

COMRES-VLM: Coordinated Multi-Robot Exploration and Search using Vision Language Models
by: Wang, Ruiyang, et al.
Published: (2025)

More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling
by: Ishfaq, Haque, et al.
Published: (2024)

An Initial Introduction to Cooperative Multi-Agent Reinforcement Learning
by: Amato, Christopher
Published: (2024)

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

The Horizon Threshold in Cooperative Multi-Agent Reward-Free Exploration
by: Barnea, Idan, et al.
Published: (2026)

Random Latent Exploration for Deep Reinforcement Learning
by: Mahankali, Srinath, et al.
Published: (2024)

Learning Optimal Strategies for Temporal Tasks in Stochastic Games
by: Bozkurt, Alper Kamil, et al.
Published: (2021)

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

Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence
by: Li, Simin, et al.
Published: (2023)

Reaching Consensus in Cooperative Multi-Agent Reinforcement Learning with Goal Imagination
by: Wang, Liangzhou, et al.
Published: (2024)

Centralized Permutation Equivariant Policy for Cooperative Multi-Agent Reinforcement Learning
by: Xu, Zhuofan, et al.
Published: (2025)

Treatment Effects in Extreme Regimes
by: Aloui, Ahmed, et al.
Published: (2023)

Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
by: Li, Simin, et al.
Published: (2025)

Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning
by: Liu, Lunjun, et al.
Published: (2024)

Heterogeneous Multi-Agent Reinforcement Learning with Attention for Cooperative and Scalable Feature Transformation
by: Zhe, Tao, et al.
Published: (2025)

Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning
by: Na, Hyungho, et al.
Published: (2024)

Cooperative Multi-Agent Deep Reinforcement Learning in Content Ranking Optimization
by: Qin, Zhou, et al.
Published: (2024)

Multi-Agent Reinforcement Learning for Offloading Cellular Communications with Cooperating UAVs
by: Mondal, Abhishek, et al.
Published: (2024)

Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation
by: Cho, Wooseong, et al.
Published: (2024)

Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning
by: Schäfer, Lukas, et al.
Published: (2023)

An Extended Benchmarking of Multi-Agent Reinforcement Learning Algorithms in Complex Fully Cooperative Tasks
by: Papadopoulos, George, et al.
Published: (2025)

Fully Decentralized Cooperative Multi-Agent Reinforcement Learning is A Context Modeling Problem
by: Li, Chao, et al.
Published: (2025)

Coordination Matters: Evaluation of Cooperative Multi-Agent Reinforcement Learning
by: Cardei, Maria Ana, et al.
Published: (2026)

LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning
by: Bae, Sangjun, et al.
Published: (2026)

Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration
by: Nimonkar, Chirayu, et al.
Published: (2025)

An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning
by: Amato, Christopher
Published: (2024)

Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL)
by: Mondal, Washim Uddin, et al.
Published: (2022)

Belief States for Cooperative Multi-Agent Reinforcement Learning under Partial Observability
by: Pritz, Paul J., et al.
Published: (2025)