:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Kasumba, Robert, Yu, Guanghui, Ho, Chien-Ju, Keren, Sarah, Yeoh, William
Formato:	Preprint
Publicado:	2024
Materias:	Artificial Intelligence Machine Learning
Acceso en línea:	https://arxiv.org/abs/2404.03054
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

On the Utility of Accounting for Human Beliefs about AI Intention in Human-AI Collaboration
por: Yu, Guanghui, et al.
Publicado: (2024)

Early Prediction of Future Behavioral Strategy from Process Traces
por: Kasumba, Robert, et al.
Publicado: (2026)

Goal Recognition as Reinforcement Learning
por: Amado, Leonardo Rosa, et al.
Publicado: (2022)

Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning
por: Gerstgrasser, Matthias, et al.
Publicado: (2023)

Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning
por: Azran, Guy, et al.
Publicado: (2023)

Comparing Traditional and Reinforcement-Learning Methods for Energy Storage Control
por: Ginzburg, Elinor, et al.
Publicado: (2025)

Goal Recognition using Actor-Critic Optimization
por: Nageris, Ben, et al.
Publicado: (2024)

Adaptive Interventions with User-Defined Goals for Health Behavior Change
por: Mandyam, Aishwarya, et al.
Publicado: (2023)

GRAIL: Goal Recognition Alignment through Imitation Learning
por: Elhadad, Osher, et al.
Publicado: (2026)

ODGR: Online Dynamic Goal Recognition
por: Shamir, Matan, et al.
Publicado: (2024)

Mind the Gaps: Auditing and Reducing Group Inequity in Large-Scale Mobility Prediction
por: Kumar, Ashwin, et al.
Publicado: (2025)

Goal-Conditioned Agents that Learn Everything All at Once
por: Matthews, Michael, et al.
Publicado: (2026)

Reaching Consensus in Cooperative Multi-Agent Reinforcement Learning with Goal Imagination
por: Wang, Liangzhou, et al.
Publicado: (2024)

End-to-End Optimization and Learning of Fair Court Schedules
por: Dinh, My H, et al.
Publicado: (2024)

Discovering Spatial Correlations of Earth Observations for weather forecasting by using Graph Structure Learning
por: Jeon, Hyeon-Ju, et al.
Publicado: (2025)

Goal-Oriented Multi-Agent Reinforcement Learning for Decentralized Agent Teams
por: Du, Hung, et al.
Publicado: (2025)

Goal-Oriented Sequential Bayesian Experimental Design for Causal Learning
por: Zhang, Zheyu, et al.
Publicado: (2025)

Dense and Diverse Goal Coverage in Multi Goal Reinforcement Learning
por: Singh, Sagalpreet, et al.
Publicado: (2025)

Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey
por: Colas, Cédric, et al.
Publicado: (2020)

Goal Discovery with Causal Capacity for Efficient Reinforcement Learning
por: Yu, Yan, et al.
Publicado: (2025)

Machine Learning Assisted Postural Movement Recognition using Photoplethysmography(PPG)
por: Maccay, Robbie, et al.
Publicado: (2024)

Reinforcement Learning for Machine Learning Engineering Agents
por: Yang, Sherry, et al.
Publicado: (2025)

AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench
por: Toledo, Edan, et al.
Publicado: (2025)

Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning
por: Wu, Lisheng, et al.
Publicado: (2024)

Proposing Hierarchical Goal-Conditioned Policy Planning in Multi-Goal Reinforcement Learning
por: Rens, Gavin B.
Publicado: (2025)

Technical Report: Evaluating Goal Drift in Language Model Agents
por: Arike, Rauno, et al.
Publicado: (2025)

GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models
por: Li, Zaitang, et al.
Publicado: (2023)

Adaptive Sparsified Graph Learning Framework for Vessel Behavior Anomalies
por: Kim, Jeehong, et al.
Publicado: (2025)

Offline Reinforcement Learning with Behavioral Supervisor Tuning
por: Srinivasan, Padmanaba, et al.
Publicado: (2024)

Behavior Preference Regression for Offline Reinforcement Learning
por: Srinivasan, Padmanaba, et al.
Publicado: (2025)

Goal-Oriented Time-Series Forecasting: Foundation Framework Design
por: Fechete, Luca-Andrei, et al.
Publicado: (2025)

Learning to Reach Goals via Diffusion
por: Jain, Vineet, et al.
Publicado: (2023)

Backward Learning for Goal-Conditioned Policies
por: Höftmann, Marc, et al.
Publicado: (2023)

Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration
por: Nimonkar, Chirayu, et al.
Publicado: (2025)

Efficient Stimuli Generation using Reinforcement Learning in Design Verification
por: Gadde, Deepak Narayan, et al.
Publicado: (2024)

SVL: Goal-Conditioned Reinforcement Learning as Survival Learning
por: Tiofack, Franki Nguimatsia, et al.
Publicado: (2026)

Probabilistic Curriculum Learning for Goal-Based Reinforcement Learning
por: Salt, Llewyn, et al.
Publicado: (2025)

Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Mining
por: Li, Pochun
Publicado: (2024)

DecompGAIL: Learning Realistic Traffic Behaviors with Decomposed Multi-Agent Generative Adversarial Imitation Learning
por: Guo, Ke, et al.
Publicado: (2025)

Multi-Agent Reinforcement Learning with a Hierarchy of Reward Machines
por: Zheng, Xuejing, et al.
Publicado: (2024)