Causal Knowledge Transfer for Multi-Agent Reinforcement Learning in Dynamic Environments
Fuente:
arXiv
Saved in:
| Main Authors: | Korte, Kathrin, Adriano, Christian Medeiros, Ghahremani, Sona, Giese, Holger |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety Principles
by: Rehan, Zainab, et al.
Published: (2026)
by: Rehan, Zainab, et al.
Published: (2026)
Path Planning through Multi-Agent Reinforcement Learning in Dynamic Environments
by: De Maeyer, Jonas, et al.
Published: (2025)
by: De Maeyer, Jonas, et al.
Published: (2025)
Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement Learning
by: Ma, Haozhe, et al.
Published: (2024)
by: Ma, Haozhe, et al.
Published: (2024)
Expediting Reinforcement Learning by Incorporating Knowledge About Temporal Causality in the Environment
by: Corazza, Jan, et al.
Published: (2025)
by: Corazza, Jan, et al.
Published: (2025)
Causal Mean Field Multi-Agent Reinforcement Learning
by: Ma, Hao, et al.
Published: (2025)
by: Ma, Hao, et al.
Published: (2025)
Multi-granularity Knowledge Transfer for Continual Reinforcement Learning
by: Pan, Chaofan, et al.
Published: (2024)
by: Pan, Chaofan, et al.
Published: (2024)
Causal Reinforcement Learning based Agent-Patient Interaction with Clinical Domain Knowledge
by: Zhao, Wenzheng, et al.
Published: (2025)
by: Zhao, Wenzheng, et al.
Published: (2025)
From Program Slices to Causal Clarity: Evaluating Faithful, Actionable LLM-Generated Failure Explanations via Context Partitioning and LLM-as-a-Judge
by: Porbeck, Julius, et al.
Published: (2026)
by: Porbeck, Julius, et al.
Published: (2026)
Adaptive Target Localization under Uncertainty using Multi-Agent Deep Reinforcement Learning with Knowledge Transfer
by: Alagha, Ahmed, et al.
Published: (2025)
by: Alagha, Ahmed, et al.
Published: (2025)
Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning
by: Lee, Kanghoon, et al.
Published: (2026)
by: Lee, Kanghoon, et al.
Published: (2026)
Decentralizing Multi-Agent Reinforcement Learning with Temporal Causal Information
by: Corazza, Jan, et al.
Published: (2025)
by: Corazza, Jan, et al.
Published: (2025)
KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning
by: Pavel, Monirul Islam, et al.
Published: (2026)
by: Pavel, Monirul Islam, et al.
Published: (2026)
DynaSearcher: Dynamic Knowledge Graph Augmented Search Agent via Multi-Reward Reinforcement Learning
by: Hao, Chuzhan, et al.
Published: (2025)
by: Hao, Chuzhan, et al.
Published: (2025)
Robust Knowledge Transfer in Tiered Reinforcement Learning
by: Huang, Jiawei, et al.
Published: (2023)
by: Huang, Jiawei, et al.
Published: (2023)
Exploration in Knowledge Transfer Utilizing Reinforcement Learning
by: Jedlička, Adam, et al.
Published: (2024)
by: Jedlička, Adam, et al.
Published: (2024)
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning
by: Wang, Xinyue, et al.
Published: (2025)
by: Wang, Xinyue, et al.
Published: (2025)
Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning
by: Castagna, Alberto
Published: (2025)
by: Castagna, Alberto
Published: (2025)
Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning
by: Malarkkan, Arun Vignesh, et al.
Published: (2026)
by: Malarkkan, Arun Vignesh, et al.
Published: (2026)
Enabling Multi-Agent Transfer Reinforcement Learning via Scenario Independent Representation
by: Nipu, Ayesha Siddika, et al.
Published: (2024)
by: Nipu, Ayesha Siddika, et al.
Published: (2024)
Uncertainty-Aware Knowledge Transformers for Peer-to-Peer Energy Trading with Multi-Agent Reinforcement Learning
by: Shah, Mian Ibad Ali, et al.
Published: (2025)
by: Shah, Mian Ibad Ali, et al.
Published: (2025)
DiaMond: Dementia Diagnosis with Multi-Modal Vision Transformers Using MRI and PET
by: Li, Yitong, et al.
Published: (2024)
by: Li, Yitong, et al.
Published: (2024)
MADQRL: Distributed Quantum Reinforcement Learning Framework for Multi-Agent Environments
by: Sawaika, Abhishek, et al.
Published: (2026)
by: Sawaika, Abhishek, et al.
Published: (2026)
Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination
by: Du, Hung, et al.
Published: (2025)
by: Du, Hung, et al.
Published: (2025)
When Does Structure Matter in Continual Learning? Dimensionality Controls When Modularity Shapes Representational Geometry
by: Korte, Kathrin, et al.
Published: (2026)
by: Korte, Kathrin, et al.
Published: (2026)
KARL: Knowledge Agents via Reinforcement Learning
by: Chang, Jonathan D., et al.
Published: (2026)
by: Chang, Jonathan D., et al.
Published: (2026)
Multi-Agent Reinforcement Learning for Dynamic Mobility Resource Allocation with Hierarchical Adaptive Grouping
by: Nooshi, Farshid, et al.
Published: (2025)
by: Nooshi, Farshid, et al.
Published: (2025)
Identifiable Causal Representation Learning: Unsupervised, Multi-View, and Multi-Environment
by: von Kügelgen, Julius
Published: (2024)
by: von Kügelgen, Julius
Published: (2024)
Multi-Agent Transfer Learning via Temporal Contrastive Learning
by: Zeng, Weihao, et al.
Published: (2024)
by: Zeng, Weihao, et al.
Published: (2024)
Concept Learning for Cooperative Multi-Agent Reinforcement Learning
by: Ge, Zhonghan, et al.
Published: (2025)
by: Ge, Zhonghan, et al.
Published: (2025)
DICE: Dynamic In-Context Example Selection in LLM Agents via Efficient Knowledge Transfer
by: Wang, Ruoyu, et al.
Published: (2025)
by: Wang, Ruoyu, et al.
Published: (2025)
On Centralized Critics in Multi-Agent Reinforcement Learning
by: Lyu, Xueguang, et al.
Published: (2024)
by: Lyu, Xueguang, et al.
Published: (2024)
WST: Weak-to-Strong Knowledge Transfer via Reinforcement Learning
by: Ge, Haosen, et al.
Published: (2025)
by: Ge, Haosen, et al.
Published: (2025)
Transferable Delay-Aware Reinforcement Learning via Implicit Causal Graph Modeling
by: Zhao, Chenran, et al.
Published: (2026)
by: Zhao, Chenran, et al.
Published: (2026)
Q-ARDNS-Multi: A Multi-Agent Quantum Reinforcement Learning Framework with Meta-Cognitive Adaptation for Complex 3D Environments
by: de Sousa, Umberto Gonçalves
Published: (2025)
by: de Sousa, Umberto Gonçalves
Published: (2025)
CausalAgent: A Conversational Multi-Agent System for End-to-End Causal Inference
by: Zhu, Jiawei, et al.
Published: (2026)
by: Zhu, Jiawei, 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)
Reinforcement Learning via Conservative Agent for Environments with Random Delays
by: Lee, Jongsoo, et al.
Published: (2025)
by: Lee, Jongsoo, et al.
Published: (2025)
Dynamic Reinsurance Treaty Bidding via Multi-Agent Reinforcement Learning
by: Dong, Stella C., et al.
Published: (2025)
by: Dong, Stella C., et al.
Published: (2025)
Toward Dependency Dynamics in Multi-Agent Reinforcement Learning for Traffic Signal Control
by: Zhang, Yuli, et al.
Published: (2025)
by: Zhang, Yuli, et al.
Published: (2025)
Multi-Agent Reinforcement Learning for Dynamic Pricing: Balancing Profitability,Stability and Fairness
by: Amma, Krishna Kumar Neelakanta Pillai Santha Kumari
Published: (2026)
by: Amma, Krishna Kumar Neelakanta Pillai Santha Kumari
Published: (2026)
Similar Items
-
Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety Principles
by: Rehan, Zainab, et al.
Published: (2026) -
Path Planning through Multi-Agent Reinforcement Learning in Dynamic Environments
by: De Maeyer, Jonas, et al.
Published: (2025) -
Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement Learning
by: Ma, Haozhe, et al.
Published: (2024) -
Expediting Reinforcement Learning by Incorporating Knowledge About Temporal Causality in the Environment
by: Corazza, Jan, et al.
Published: (2025) -
Causal Mean Field Multi-Agent Reinforcement Learning
by: Ma, Hao, et al.
Published: (2025)