A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making

20 April 2023

Papers citing "A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making"

7 / 7 papers shown

Title
Learning to Select Goals in Automated Planning with Deep-Q Learning Carlos Núnez-Molina Juan Fernández-Olivares Raúl Pérez 20 10 0 20 Jun 2024
Software Engineering for Collective Cyber-Physical Ecosystems Roberto Casadei G. Aguzzi Giorgio Audrito Ferruccio Damiani Danilo Pianini Giordano Scarso G. Torta Mirko Viroli 24 1 0 07 Jun 2024
XXAI: Towards eXplicitly eXplainable Artificial Intelligence V. Kalmykov L. V. Kalmykov 22 0 0 05 Jan 2024
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators Clement Gehring Masataro Asai Rohan Chitnis Tom Silver L. Kaelbling Shirin Sohrabi Michael Katz OffRL 38 37 0 30 Sep 2021
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 226 438 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 252 1,394 0 01 Dec 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 195 7,816 0 13 Jun 2015