Implicitly Aligning Humans and Autonomous Agents through Shared Task Abstractions
Fuente:
arXiv
Saved in:
| Main Authors: | Aroca-Ouellette, Stéphane, Aroca-Ouellette, Miguel, von der Wense, Katharina, Roncone, Alessandro |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Zero-Shot Coordination between Teams of Agents: The N-XPlay Framework
by: Abderezaei, Ava, et al.
Published: (2025)
by: Abderezaei, Ava, et al.
Published: (2025)
Eyes on the Game: Deciphering Implicit Human Signals to Infer Human Proficiency, Trust, and Intent
by: Hulle, Nikhil, et al.
Published: (2024)
by: Hulle, Nikhil, et al.
Published: (2024)
ROMA-iQSS: An Objective Alignment Approach via State-Based Value Learning and ROund-Robin Multi-Agent Scheduling
by: Lin, Chi-Hui, et al.
Published: (2024)
by: Lin, Chi-Hui, et al.
Published: (2024)
Aligning LLMs by Predicting Preferences from User Writing Samples
by: Aroca-Ouellette, Stéphane, et al.
Published: (2025)
by: Aroca-Ouellette, Stéphane, et al.
Published: (2025)
Cooperative Multi-Agent Learning for Navigation via Structured State Abstraction
by: Abdelaziz, Mohamed K., et al.
Published: (2023)
by: Abdelaziz, Mohamed K., et al.
Published: (2023)
UAV-Assisted Multi-Task Federated Learning with Task Knowledge Sharing
by: Yang, Yubo, et al.
Published: (2025)
by: Yang, Yubo, et al.
Published: (2025)
Agentomics-ML: Autonomous Machine Learning Experimentation Agent for Genomic and Transcriptomic Data
by: Martinek, Vlastimil, et al.
Published: (2025)
by: Martinek, Vlastimil, et al.
Published: (2025)
Generalising Multi-Agent Cooperation through Task-Agnostic Communication
by: Jayalath, Dulhan, et al.
Published: (2024)
by: Jayalath, Dulhan, et al.
Published: (2024)
MAGNNET: Multi-Agent Graph Neural Network-based Efficient Task Allocation for Autonomous Vehicles with Deep Reinforcement Learning
by: Ratnabala, Lavanya, et al.
Published: (2025)
by: Ratnabala, Lavanya, et al.
Published: (2025)
A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control
by: Satheesh, Anirudh, et al.
Published: (2025)
by: Satheesh, Anirudh, et al.
Published: (2025)
Automatic Construction of Clinical Scoring Systems with LLM Agents
by: Estévez, Silas Ruhrberg, et al.
Published: (2026)
by: Estévez, Silas Ruhrberg, et al.
Published: (2026)
Spatiotemporal Attention-Augmented Inverse Reinforcement Learning for Multi-Agent Task Allocation
by: Yin, Huilin, et al.
Published: (2025)
by: Yin, Huilin, et al.
Published: (2025)
Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics
by: Hazra, Somnath, et al.
Published: (2025)
by: Hazra, Somnath, et al.
Published: (2025)
AgentRec: Agent Recommendation Using Sentence Embeddings Aligned to Human Feedback
by: Park, Joshua, et al.
Published: (2025)
by: Park, Joshua, et al.
Published: (2025)
When Parallelism Pays Off: Cohesion-Aware Task Partitioning for Multi-Agent Coding
by: Yang, Xu, et al.
Published: (2026)
by: Yang, Xu, et al.
Published: (2026)
Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing
by: Amico, Jeffrey, et al.
Published: (2025)
by: Amico, Jeffrey, et al.
Published: (2025)
Implicit Repair with Reinforcement Learning in Emergent Communication
by: Vital, Fábio, et al.
Published: (2025)
by: Vital, Fábio, et al.
Published: (2025)
ARMove: Learning to Predict Human Mobility through Agentic Reasoning
by: Wang, Chuyue, et al.
Published: (2026)
by: Wang, Chuyue, et al.
Published: (2026)
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
by: Brunnbauer, Axel, et al.
Published: (2024)
by: Brunnbauer, Axel, et al.
Published: (2024)
Towards Better Sample Efficiency in Multi-Agent Reinforcement Learning via Exploration
by: Baghi, Amir, et al.
Published: (2025)
by: Baghi, Amir, et al.
Published: (2025)
Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
by: Hoppe, Heiko, et al.
Published: (2023)
by: Hoppe, Heiko, et al.
Published: (2023)
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)
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles
by: Wen, Ruoqi, et al.
Published: (2023)
by: Wen, Ruoqi, et al.
Published: (2023)
Gaze-informed Signatures of Trust and Collaboration in Human-Autonomy Teams
by: Ries, Anthony J., et al.
Published: (2024)
by: Ries, Anthony J., et al.
Published: (2024)
Beyond Task Performance: A Metric-Based Analysis of Sequential Cooperation in Heterogeneous Multi-Agent Destructive Foraging
by: Barrionuevo, Alejandro Mendoza, et al.
Published: (2026)
by: Barrionuevo, Alejandro Mendoza, et al.
Published: (2026)
Investigating Relational State Abstraction in Collaborative MARL
by: Utke, Sharlin, et al.
Published: (2024)
by: Utke, Sharlin, et al.
Published: (2024)
Skill-Aligned Fairness in Multi-Agent Learning for Collaboration in Healthcare
by: Ekpo, Promise Osaine, et al.
Published: (2025)
by: Ekpo, Promise Osaine, et al.
Published: (2025)
Multi-Agent Soft Actor-Critic with Coordinated Loss for Autonomous Mobility-on-Demand Fleet Control
by: Woywood, Zeno, et al.
Published: (2024)
by: Woywood, Zeno, et al.
Published: (2024)
Cluster-Based Multi-Agent Task Scheduling for Space-Air-Ground Integrated Networks
by: Wang, Zhiying, et al.
Published: (2024)
by: Wang, Zhiying, et al.
Published: (2024)
Prism: Spectral Parameter Sharing for Multi-Agent Reinforcement Learning
by: Kim, Kyungbeom, et al.
Published: (2026)
by: Kim, Kyungbeom, et al.
Published: (2026)
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing
by: Jiang, Haobin, et al.
Published: (2024)
by: Jiang, Haobin, et al.
Published: (2024)
T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration
by: Sun, Chuxiong, et al.
Published: (2024)
by: Sun, Chuxiong, et al.
Published: (2024)
OPTIMA: Optimized Policy for Intelligent Multi-Agent Systems Enables Coordination-Aware Autonomous Vehicles
by: Du, Rui, et al.
Published: (2024)
by: Du, Rui, et al.
Published: (2024)
Capability-Aware Shared Hypernetworks for Flexible Heterogeneous Multi-Robot Coordination
by: Fu, Kevin, et al.
Published: (2025)
by: Fu, Kevin, et al.
Published: (2025)
KVComm: Enabling Efficient LLM Communication through Selective KV Sharing
by: Shi, Xiangyu, et al.
Published: (2025)
by: Shi, Xiangyu, et al.
Published: (2025)
Achieving Collective Welfare in Multi-Agent Reinforcement Learning via Suggestion Sharing
by: Jin, Yue, et al.
Published: (2024)
by: Jin, Yue, et al.
Published: (2024)
Verifiability-First Agents: Provable Observability and Lightweight Audit Agents for Controlling Autonomous LLM Systems
by: Gupta, Abhivansh
Published: (2025)
by: Gupta, Abhivansh
Published: (2025)
Multi-Agent Coordination in Autonomous Vehicle Routing: A Simulation-Based Study of Communication, Memory, and Routing Loops
by: Saifullah, KM Khalid, et al.
Published: (2025)
by: Saifullah, KM Khalid, et al.
Published: (2025)
Learning to Communicate in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence
by: Contractor, Faizan, et al.
Published: (2025)
by: Contractor, Faizan, et al.
Published: (2025)
MobiAgent: A Systematic Framework for Customizable Mobile Agents
by: Zhang, Cheng, et al.
Published: (2025)
by: Zhang, Cheng, et al.
Published: (2025)
Similar Items
-
Towards Zero-Shot Coordination between Teams of Agents: The N-XPlay Framework
by: Abderezaei, Ava, et al.
Published: (2025) -
Eyes on the Game: Deciphering Implicit Human Signals to Infer Human Proficiency, Trust, and Intent
by: Hulle, Nikhil, et al.
Published: (2024) -
ROMA-iQSS: An Objective Alignment Approach via State-Based Value Learning and ROund-Robin Multi-Agent Scheduling
by: Lin, Chi-Hui, et al.
Published: (2024) -
Aligning LLMs by Predicting Preferences from User Writing Samples
by: Aroca-Ouellette, Stéphane, et al.
Published: (2025) -
Cooperative Multi-Agent Learning for Navigation via Structured State Abstraction
by: Abdelaziz, Mohamed K., et al.
Published: (2023)