Cooperative Bayesian Optimization for Imperfect Agents
Fuente:
arXiv
Saved in:
| Main Authors: | Khoshvishkaie, Ali, Mikkola, Petrus, Murena, Pierre-Alexandre, Kaski, Samuel |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Anomaly Detection in Cooperative Vehicle Perception Systems under Imperfect Communication
by: Bastola, Ashish, et al.
Published: (2025)
by: Bastola, Ashish, et al.
Published: (2025)
Uncoupled Learning of Differential Stackelberg Equilibria with Commitments
by: Loftin, Robert, et al.
Published: (2023)
by: Loftin, Robert, et al.
Published: (2023)
Learning to Cooperate with Humans using Generative Agents
by: Liang, Yancheng, et al.
Published: (2024)
by: Liang, Yancheng, et al.
Published: (2024)
ProAgent: Building Proactive Cooperative Agents with Large Language Models
by: Zhang, Ceyao, et al.
Published: (2023)
by: Zhang, Ceyao, et al.
Published: (2023)
When Is Diversity Rewarded in Cooperative Multi-Agent Learning?
by: Amir, Michael, et al.
Published: (2025)
by: Amir, Michael, et al.
Published: (2025)
POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding
by: Skrynnik, Alexey, et al.
Published: (2024)
by: Skrynnik, Alexey, et al.
Published: (2024)
Coordination Matters: Evaluation of Cooperative Multi-Agent Reinforcement Learning
by: Cardei, Maria Ana, et al.
Published: (2026)
by: Cardei, Maria Ana, et al.
Published: (2026)
Hierarchical Reinforcement Learning for Optimal Agent Grouping in Cooperative Systems
by: Hu, Liyuan
Published: (2025)
by: Hu, Liyuan
Published: (2025)
The Composite Task Challenge for Cooperative Multi-Agent Reinforcement Learning
by: Li, Yurui, et al.
Published: (2025)
by: Li, Yurui, et al.
Published: (2025)
LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning
by: Bae, Sangjun, et al.
Published: (2026)
by: Bae, Sangjun, et al.
Published: (2026)
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey
by: Jiang, Jiechuan, et al.
Published: (2024)
by: Jiang, Jiechuan, et al.
Published: (2024)
Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
by: Li, Simin, et al.
Published: (2025)
by: Li, Simin, et al.
Published: (2025)
Centralized Permutation Equivariant Policy for Cooperative Multi-Agent Reinforcement Learning
by: Xu, Zhuofan, et al.
Published: (2025)
by: Xu, Zhuofan, et al.
Published: (2025)
Descent-Guided Policy Gradient for Scalable Cooperative Multi-Agent Learning
by: Yang, Shan, et al.
Published: (2026)
by: Yang, Shan, et al.
Published: (2026)
Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning
by: Liu, Lunjun, et al.
Published: (2024)
by: Liu, Lunjun, et al.
Published: (2024)
AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning
by: Zhou, Guangchong, et al.
Published: (2024)
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)
by: Kontogiannis, Andreas, et al.
Published: (2025)
Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation
by: Liu, Sicong, et al.
Published: (2025)
by: Liu, Sicong, et al.
Published: (2025)
Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Multi-Agent Reinforcement Learning Systems
by: Dasgupta, Nayana, et al.
Published: (2023)
by: Dasgupta, Nayana, et al.
Published: (2023)
ToMCAT: Theory-of-Mind for Cooperative Agents in Teams via Multiagent Diffusion Policies
by: Sequeira, Pedro, et al.
Published: (2025)
by: Sequeira, Pedro, et al.
Published: (2025)
${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
by: Chen, Dingyang, et al.
Published: (2023)
by: Chen, Dingyang, et al.
Published: (2023)
A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes
by: Cheruiyot, Kemboi, et al.
Published: (2025)
by: Cheruiyot, Kemboi, et al.
Published: (2025)
MO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement Learning
by: Hu, Tianmeng, et al.
Published: (2026)
by: Hu, Tianmeng, et al.
Published: (2026)
MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure
by: Zhang, Zhicheng, et al.
Published: (2024)
by: Zhang, Zhicheng, et al.
Published: (2024)
Open Ad Hoc Teamwork with Cooperative Game Theory
by: Wang, Jianhong, et al.
Published: (2024)
by: Wang, Jianhong, et al.
Published: (2024)
Quantum Frog: Emergent Cooperation and Difficulty Scaling in a Quantized-Time Cooperative Game
by: Mankarious, Saad
Published: (2026)
by: Mankarious, Saad
Published: (2026)
MADQRL: Distributed Quantum Reinforcement Learning Framework for Multi-Agent Environments
by: Sawaika, Abhishek, et al.
Published: (2026)
by: Sawaika, Abhishek, et al.
Published: (2026)
PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning
by: Hu, Kun, et al.
Published: (2025)
by: Hu, Kun, et al.
Published: (2025)
KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization
by: Sun, Qitong, et al.
Published: (2026)
by: Sun, Qitong, et al.
Published: (2026)
Optimizing Life Sciences Agents in Real-Time using Reinforcement Learning
by: Chadderwala, Nihir
Published: (2025)
by: Chadderwala, Nihir
Published: (2025)
Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey
by: Hady, Mohamad A., et al.
Published: (2025)
by: Hady, Mohamad A., et al.
Published: (2025)
Coordination Failure in Cooperative Offline MARL
by: Tilbury, Callum Rhys, et al.
Published: (2024)
by: Tilbury, Callum Rhys, et al.
Published: (2024)
Scalable Submodular Policy Optimization via Pruned Submodularity Graph
by: Anand, Aditi, et al.
Published: (2025)
by: Anand, Aditi, et al.
Published: (2025)
Innate-Values-driven Reinforcement Learning based Cooperative Multi-Agent Cognitive Modeling
by: Yang, Qin
Published: (2024)
by: Yang, Qin
Published: (2024)
OptiMindTune: A Multi-Agent Framework for Intelligent Hyperparameter Optimization
by: Madiraju, Meher Bhaskar, et al.
Published: (2025)
by: Madiraju, Meher Bhaskar, et al.
Published: (2025)
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)
CORD: Generalizable Cooperation via Role Diversity
by: Matsuyama, Kanefumi, et al.
Published: (2025)
by: Matsuyama, Kanefumi, et al.
Published: (2025)
A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning
by: Liu, Anjie, et al.
Published: (2025)
by: Liu, Anjie, et al.
Published: (2025)
COSAC: Counterfactual Credit Assignment in Sequential Cooperative Teams
by: Deshmukh, Shripad, et al.
Published: (2026)
by: Deshmukh, Shripad, et al.
Published: (2026)
Similar Items
-
Anomaly Detection in Cooperative Vehicle Perception Systems under Imperfect Communication
by: Bastola, Ashish, et al.
Published: (2025) -
Uncoupled Learning of Differential Stackelberg Equilibria with Commitments
by: Loftin, Robert, et al.
Published: (2023) -
Learning to Cooperate with Humans using Generative Agents
by: Liang, Yancheng, et al.
Published: (2024) -
ProAgent: Building Proactive Cooperative Agents with Large Language Models
by: Zhang, Ceyao, et al.
Published: (2023) -
When Is Diversity Rewarded in Cooperative Multi-Agent Learning?
by: Amir, Michael, et al.
Published: (2025)