A. Fidjeland

发表

Human-level control through deep reinforcement learning

Shane Legg, Alex Graves, Marc G. Bellemare, 2015, Nature.

Humanoid Robot Control Using Spiking Neural Networks

A. Fidjeland, D. Gamez, E. Lazdins, 2011 .

Three Tools for the Real-Time Simulation of Embodied Spiking Neural Networks Using GPUs

Murray Shanahan, David Gamez, Andreas Fidjeland, 2013, Neuroinformatics.

Reconfigurable acceleration of neural models with gap junctions

Wayne Luk, Simon R. Schultz, Philip H. W. Leong, 2009, 2009 International Conference on Field-Programmable Technology.

iSpike: a spiking neural interface for the iCub robot

D Gamez, A K Fidjeland, E Lazdins, 2012, Bioinspiration & biomimetics.

A Customisable Multiprocessor for Application-Optimised Inductive Logic Programming

Stephen Muggleton, Wayne Luk, Andreas Fidjeland, 2008, BCS Int. Acad. Conf..

Archlog: High-Level Synthesis of Reconfigurable Multiprocessors for Logic Programming

Wayne Luk, Andreas Fidjeland, A. Fidjeland, 2006, 2006 International Conference on Field Programmable Logic and Applications.

An overview of high-level synthesis of multiprocessors for logic programming

Wayne Luk, Andreas Fidjeland, A. Fidjeland, 2005, Proceedings. 2005 IEEE International Conference on Field-Programmable Technology, 2005..

Customising application-specific multiprocessor systems: a case study

Wayne Luk, Andreas Fidjeland, A. Fidjeland, 2005, 2005 IEEE International Conference on Application-Specific Systems, Architecture Processors (ASAP'05).

Customising parallelism and caching for machine learning

Wayne Luk, Andreas Fidjeland, A. Fidjeland, 2003, Proceedings. 2003 IEEE International Conference on Field-Programmable Technology (FPT) (IEEE Cat. No.03EX798).

Scalable acceleration of inductive logic programs

Stephen Muggleton, Wayne Luk, Andreas Fidjeland, 2002, 2002 IEEE International Conference on Field-Programmable Technology, 2002. (FPT). Proceedings..

A neuronal global workspace for human-like control of a computer game character

David Gamez, Andreas Fidjeland, Zafeirios Fountas, 2011, 2011 IEEE Conference on Computational Intelligence and Games (CIG'11).

Accelerated simulation of spiking neural networks using GPUs

Murray Shanahan, Andreas Fidjeland, A. Fidjeland, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

NeMo: A Platform for Neural Modelling of Spiking Neurons Using GPUs

Murray Shanahan, Wayne Luk, Etienne B. Roesch, 2009, 2009 20th IEEE International Conference on Application-specific Systems, Architectures and Processors.

Using high-stakes grades to incentivize learning

A. Fidjeland, 2023, Economics of Education Review.

Reducing the gender gap in early learning: Evidence from a field experiment in Norwegian preschools

A. Fidjeland, M. Rege, I. Solli, 2023, European Economic Review.

Human-level control through deep reinforcement learning

Marc G. Bellemare, Martin A. Riedmiller, Andrei A. Rusu, 2015, Nature.

A Neurally Controlled Computer Game Avatar With Humanlike Behavior

David Gamez, Andreas Fidjeland, Zafeirios Fountas, 2013, IEEE Transactions on Computational Intelligence and AI in Games.