research
∙
06/06/2022
Efficient entity-based reinforcement learning
Recent deep reinforcement learning (DRL) successes rely on end-to-end le...
share
research
∙
05/19/2022
AIGenC: AI generalisation via creativity
This paper introduces a computational model of creative problem solving ...
research
∙
09/26/2021
Logo Generation Using Regional Features: A Faster R-CNN Approach to Generative Adversarial Networks
In this paper we introduce Local Logo Generative Adversarial Network (LL...
research
∙
02/23/2020
Gaussian Process Regression for Probabilistic Short-term Solar Output Forecast
With increasing concerns of climate change, renewable resources such as ...
research
∙
08/23/2018
Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models
Magnetic Resonance Spectroscopy (MRS) provides valuable information to h...
research
∙
04/23/2018
Towards Symbolic Reinforcement Learning with Common Sense
Deep Reinforcement Learning (deep RL) has made several breakthroughs in ...
research
∙
01/02/2011
