Cover Image

CooT: Learning to Coordinate In-Context with Coordination Transformers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Huai-Chih, Chuang, Hsiang-Chun, Cheng, Hsi-Chun, Wu, Dai-Jie, Sun, Shao-Hua
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Human-Computer Interaction Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination
by: Wang, Xihuai, et al.
Published: (2023)

Strength Estimation and Human-Like Strength Adjustment in Games
by: Chen, Chun Jung, et al.
Published: (2025)

L2CU: Learning to Complement Unseen Users
by: Pitawela, Dileepa, et al.
Published: (2026)

Coordinated Strategies in Realistic Air Combat by Hierarchical Multi-Agent Reinforcement Learning
by: Selmonaj, Ardian, et al.
Published: (2025)

RAICL: Retrieval-Augmented In-Context Learning for Vision-Language-Model Based EEG Seizure Detection
by: Li, Siyang, et al.
Published: (2026)

Spatial-Temporal Transformer with Curriculum Learning for EEG-Based Emotion Recognition
by: Lin, Xuetao, et al.
Published: (2025)

When the Loop Closes: Architectural Limits of In-Context Isolation, Metacognitive Co-option, and the Two-Target Design Problem in Human-LLM Systems
by: Cheng, Z., et al.
Published: (2026)

Collaborative Intelligence in Sequential Experiments: A Human-in-the-Loop Framework for Drug Discovery
by: He, Jinghai, et al.
Published: (2024)

Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination
by: Li, Yang, et al.
Published: (2023)

Making RL with Preference-based Feedback Efficient via Randomization
by: Wu, Runzhe, et al.
Published: (2023)

HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning
by: Hiranaka, Ayano, et al.
Published: (2024)

Mind's Eye: Image Recognition by EEG via Multimodal Similarity-Keeping Contrastive Learning
by: Chen, Chi-Sheng, et al.
Published: (2024)

SAFE: Secure and Accurate Federated Learning for Privacy-Preserving Brain-Computer Interfaces
by: Jia, Tianwang, et al.
Published: (2026)

Detection and Characterization of Coordinated Online Behavior: A Survey
by: Mannocci, Lorenzo, et al.
Published: (2024)

Multimodal Coordinated Online Behavior: Trade-offs and Strategies
by: Mannocci, Lorenzo, et al.
Published: (2025)

Context-Aware Visualization for Explainable AI Recommendations in Social Media: A Vision for User-Aligned Explanations
by: Alkhateeb, Banan, et al.
Published: (2025)

Cost-Effective Online Multi-LLM Selection with Versatile Reward Models
by: Dai, Xiangxiang, et al.
Published: (2024)

Vibrotactile Preference Learning: Uncertainty-Aware Preference Learning for Personalized Vibration Feedback
by: Zhang, Rongtao, et al.
Published: (2026)

Transformer Explainer: Interactive Learning of Text-Generative Models
by: Cho, Aeree, et al.
Published: (2024)

ConvoLearn: A Learning Sciences Grounded Dataset for Fine-Tuning Dialogic AI Tutors
by: Sharma, Mayank, et al.
Published: (2026)

Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences
by: Hohman, Fred, et al.
Published: (2023)

Building Machines that Learn and Think with People
by: Collins, Katherine M., et al.
Published: (2024)

Does visualization help AI understand data?
by: Li, Victoria R., et al.
Published: (2025)

Towards Interactive Reinforcement Learning with Intrinsic Feedback
by: Poole, Benjamin, et al.
Published: (2021)

Abstracted Trajectory Visualization for Explainability in Reinforcement Learning
by: Takagi, Yoshiki, et al.
Published: (2024)

Sensor2Text: Enabling Natural Language Interactions for Daily Activity Tracking Using Wearable Sensors
by: Chen, Wenqiang, et al.
Published: (2024)

Knowledge-Data Fusion Based Source-Free Semi-Supervised Domain Adaptation for Seizure Subtype Classification
by: Peng, Ruimin, et al.
Published: (2024)

Learning to Decide with AI Assistance under Human-Alignment
by: Benz, Nina Corvelo, et al.
Published: (2026)

Hindsight PRIORs for Reward Learning from Human Preferences
by: Verma, Mudit, et al.
Published: (2024)

Alignment-Based Adversarial Training (ABAT) for Improving the Robustness and Accuracy of EEG-Based BCIs
by: Chen, Xiaoqing, et al.
Published: (2024)

Eye Movements as Indicators of Deception: A Machine Learning Approach
by: Foucher, Valentin, et al.
Published: (2025)

Self-Initiated Open World Learning for Autonomous AI Agents
by: Liu, Bing, et al.
Published: (2021)

VAE Explainer: Supplement Learning Variational Autoencoders with Interactive Visualization
by: Bertucci, Donald, et al.
Published: (2024)

SpiroActive: Active Learning for Efficient Data Acquisition for Spirometry
by: Jain, Ankita Kumari, et al.
Published: (2024)

Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference
by: Hohman, Fred, et al.
Published: (2024)

Towards Green Wearable Computing: A Physics-Aware Spiking Neural Network for Energy-Efficient IMU-based Human Activity Recognition
by: Zheng, Naichuan, et al.
Published: (2026)

Transparent Adaptive Learning via Data-Centric Multimodal Explainable AI
by: Mosleh, Maryam, et al.
Published: (2025)

Transferring Annotator- and Instance-dependent Transition Matrix for Learning from Crowds
by: Li, Shikun, et al.
Published: (2023)

Explainability for Machine Learning Models: From Data Adaptability to User Perception
by: Delaunay, julien
Published: (2024)

A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE)
by: Sonntag, Daniel, et al.
Published: (2024)