Hado P. van Hasselt

9 papers and 118 indexed citations i.

Hado P. van Hasselt is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Hado P. van Hasselt has authored 9 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 1 paper in Electrical and Electronic Engineering and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Hado P. van Hasselt’s work include Reinforcement Learning in Robotics (9 papers), Financial Distress and Bankruptcy Prediction (1 paper) and Fuel Cells and Related Materials (1 paper). Hado P. van Hasselt is often cited by papers focused on Reinforcement Learning in Robotics (9 papers), Financial Distress and Bankruptcy Prediction (1 paper) and Fuel Cells and Related Materials (1 paper). Hado P. van Hasselt collaborates with scholars based in United States, Canada and Australia. Hado P. van Hasselt's co-authors include Richard S. Sutton, David Silver, Tom Schaul, Will Dabney, André Barreto, Rémi Munos, Jonathan J. Hunt, Matteo Hessel, Junhyuk Oh and Satinder Singh and has published in prestigious journals such as neural information processing systems, arXiv (Cornell University) and Neural Information Processing Systems.