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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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Denoising Adversarial Autoencoders

Jan 04, 2018
Antonia Creswell, Anil Anthony Bharath

* submitted to journal 

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A Recursive Bayesian Approach To Describe Retinal Vasculature Geometry

Nov 28, 2017
Fatmatulzehra Uslu, Anil Anthony Bharath

* 26 pages,13 figures, journal paper 

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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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Improving Sampling from Generative Autoencoders with Markov Chains

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


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Inverting The Generator Of A Generative Adversarial Network

Nov 17, 2016
Antonia Creswell, Anil Anthony Bharath

* Accepted at NIPS 2016 Workshop on Adversarial Training 

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Adversarial Training For Sketch Retrieval

Aug 23, 2016
Antonia Creswell, Anil Anthony Bharath

* Accepted to ECCV2016 VisArt Workshop 

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