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Privileged Information Dropout in Reinforcement Learning

May 19, 2020
Pierre-Alexandre Kamienny, Kai Arulkumaran, Feryal Behbahani, Wendelin Boehmer, Shimon Whiteson


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Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation

Dec 18, 2019
Tianhong Dai, Kai Arulkumaran, Samyakh Tukra, Feryal Behbahani, Anil Anthony Bharath


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Sample-Efficient Reinforcement Learning with Maximum Entropy Mellowmax Episodic Control

Nov 21, 2019
Marta Sarrico, Kai Arulkumaran, Andrea Agostinelli, Pierre Richemond, Anil Anthony Bharath

* Workshop on Biological and Artificial Reinforcement Learning, NeurIPS 2019 

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Memory-Efficient Episodic Control Reinforcement Learning with Dynamic Online k-means

Nov 21, 2019
Andrea Agostinelli, Kai Arulkumaran, Marta Sarrico, Pierre Richemond, Anil Anthony Bharath

* Workshop on Biological and Artificial Reinforcement Learning, NeurIPS 2019 

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AlphaStar: An Evolutionary Computation Perspective

Feb 08, 2019
Kai Arulkumaran, Antoine Cully, Julian Togelius


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Adaptive Neural Trees

Oct 07, 2018
Ryutaro Tanno, Kai Arulkumaran, Daniel C. Alexander, Antonio Criminisi, Aditya Nori


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Variational Inference for Data-Efficient Model Learning in POMDPs

May 23, 2018
Sebastian Tschiatschek, Kai Arulkumaran, Jan Stühmer, Katja Hofmann


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Generative Adversarial Networks: An Overview

Oct 19, 2017
Antonia Creswell, Tom White, Vincent Dumoulin, Kai Arulkumaran, Biswa Sengupta, Anil A Bharath

* Accepted in the IEEE Signal Processing Magazine Special Issue on Deep Learning for Visual Understanding 

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On denoising autoencoders trained to minimise binary cross-entropy

Oct 09, 2017
Antonia Creswell, Kai Arulkumaran, Anil A. Bharath

* Submitted to Pattern Recognition Letters 

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A Brief Survey of Deep Reinforcement Learning

Sep 28, 2017
Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage, Anil Anthony Bharath

* IEEE Signal Processing Magazine, Special Issue on Deep Learning for Image Understanding (arXiv extended version) 

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Classifying Options for Deep Reinforcement Learning

Jun 19, 2017
Kai Arulkumaran, Nat Dilokthanakul, Murray Shanahan, Anil Anthony Bharath

* IJCAI 2016 Workshop on Deep Reinforcement Learning: Frontiers and Challenges 

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Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

Jan 13, 2017
Nat Dilokthanakul, Pedro A. M. Mediano, Marta Garnelo, Matthew C. H. Lee, Hugh Salimbeni, Kai Arulkumaran, Murray Shanahan

* 12 pages, 6 figures, Under review as a conference paper at ICLR 2017 

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Improving Sampling from Generative Autoencoders with Markov Chains

Jan 12, 2017
Antonia Creswell, Kai Arulkumaran, Anil Anthony Bharath


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Towards Deep Symbolic Reinforcement Learning

Oct 01, 2016
Marta Garnelo, Kai Arulkumaran, Murray Shanahan


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