Imagen de Portada

Imitating Mistakes in a Learning Companion AI Agent for Online Peer Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Moribe, Sosui, Ushiama, Taketoshi
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence Multiagent Systems
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Beyond Serendipity: From Exposing the Unknown to Fostering Engagement through Peer Recommendation
por: Moribe, Sosui, et al.
Publicado: (2026)

Learning Strategy Representation for Imitation Learning in Multi-Agent Games
por: Lei, Shiqi, et al.
Publicado: (2024)

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations
por: Mattson, Connor, et al.
Publicado: (2025)

MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale
por: Andreychuk, Anton, et al.
Publicado: (2024)

PIMAEX: Multi-Agent Exploration through Peer Incentivization
por: Kölle, Michael, et al.
Publicado: (2025)

A Multi-Agent Systems Approach for Peer-to-Peer Energy Trading in Dairy Farming
por: Shah, Mian Ibad Ali, et al.
Publicado: (2023)

MeloTune: On-Device Arousal Learning and Peer-to-Peer Mood Coupling for Proactive Music Curation
por: Xu, Hongwei
Publicado: (2026)

Herd Behavior: Investigating Peer Influence in LLM-based Multi-Agent Systems
por: Cho, Young-Min, et al.
Publicado: (2025)

Reinforcement Learning Enabled Peer-to-Peer Energy Trading for Dairy Farms
por: Shah, Mian Ibad Ali, et al.
Publicado: (2024)

Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning
por: Castagna, Alberto
Publicado: (2025)

Multicopy Reinforcement Learning Agents
por: Wolfe, Alicia P., et al.
Publicado: (2023)

Beyond Automation: Socratic AI, Epistemic Agency, and the Implications of the Emergence of Orchestrated Multi-Agent Learning Architectures
por: Degen, Peer-Benedikt, et al.
Publicado: (2025)

ScholarPeer: A Context-Aware Multi-Agent Framework for Automated Peer Review
por: Goyal, Palash, et al.
Publicado: (2026)

Factored Online Planning in Many-Agent POMDPs
por: Galesloot, Maris F. L., et al.
Publicado: (2023)

Selective Reincarnation: Offline-to-Online Multi-Agent Reinforcement Learning
por: Formanek, Claude, et al.
Publicado: (2023)

Heterogeneity in Multi-Agent Reinforcement Learning
por: Hu, Tianyi, et al.
Publicado: (2025)

MindZero: Learning Online Mental Reasoning With Zero Annotations
por: Zhang, Shunchi, et al.
Publicado: (2026)

Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning
por: Li, Simin, et al.
Publicado: (2025)

Scalable Safe Multi-Agent Reinforcement Learning for Multi-Agent System
por: Du, Haikuo, et al.
Publicado: (2025)

Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations
por: Seo, Sangwon, et al.
Publicado: (2025)

SocialGFs: Learning Social Gradient Fields for Multi-Agent Reinforcement Learning
por: Long, Qian, et al.
Publicado: (2024)

Deploying Ten Thousand Robots: Scalable Imitation Learning for Lifelong Multi-Agent Path Finding
por: Jiang, He, et al.
Publicado: (2024)

Agent Exchange: Shaping the Future of AI Agent Economics
por: Yang, Yingxuan, et al.
Publicado: (2025)

Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations
por: Derstroff, Cedric, et al.
Publicado: (2023)

Multi-Agent Reinforcement Learning with Communication-Constrained Priors
por: Yang, Guang, et al.
Publicado: (2025)

Causal Mean Field Multi-Agent Reinforcement Learning
por: Ma, Hao, et al.
Publicado: (2025)

Measuring Policy Distance for Multi-Agent Reinforcement Learning
por: Hu, Tianyi, et al.
Publicado: (2024)

Memory-Augmented Reinforcement Learning Agent for CAD Generation
por: Xiaolong, Yin, et al.
Publicado: (2026)

Trust-Based Social Learning for Communication (TSLEC) Protocol Evolution in Multi-Agent Reinforcement Learning
por: Weinberg, Abraham Itzhak
Publicado: (2025)

Free Agent in Agent-Based Mixture-of-Experts Generative AI Framework
por: Liu, Jung-Hua
Publicado: (2025)

Enforcement Agents: Enhancing Accountability and Resilience in Multi-Agent AI Frameworks
por: Tamang, Sagar, et al.
Publicado: (2025)

Sentinel Agents for Secure and Trustworthy Agentic AI in Multi-Agent Systems
por: Gosmar, Diego, et al.
Publicado: (2025)

Multi-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis
por: Rudd-Jones, James, et al.
Publicado: (2025)

Learning to Recommend Multi-Agent Subgraphs from Calling Trees
por: Song, Xinyuan, et al.
Publicado: (2026)

Hallucination Mitigation with Agentic AI, Nested Learning, and AI Sustainability via Semantic Caching
por: Gosmar, Diego, et al.
Publicado: (2026)

Fair Compromises in Participatory Budgeting: a Multi-Agent Deep Reinforcement Learning Approach
por: Adams, Hugh, et al.
Publicado: (2025)

Learning the Preferences of a Learning Agent
por: Sadek, Karim Abdel, et al.
Publicado: (2026)

Solving Context Window Overflow in AI Agents
por: Labate, Anton Bulle, et al.
Publicado: (2025)

Enhancing Online Learning Efficiency Through Heterogeneous Resource Integration with a Multi-Agent RAG System
por: Srivastav, Devansh, et al.
Publicado: (2025)

Prompt Injection Mitigation with Agentic AI, Nested Learning, and AI Sustainability via Semantic Caching
por: Gosmar, Diego, et al.
Publicado: (2026)