Efficient large-scale fleet management via multi-agent deep reinforcement learning

Efficient large-scale fleet management via multi-agent deep reinforcement learning Lin et al., KDD'18 A couple of weeks ago we looked at a survey paper covering approaches to dynamic, stochastic, vehicle routing problems (DSVRPs). At the end of the write-up I mentioned that I couldn’t help wondering about an end-to-end deep learning based approach to learning ... Continue Reading

GAN dissection: visualizing and understanding generative adversarial networks

GAN dissection: visualizing and understanding generative adversarial networks Bau et al., arXiv'18 Earlier this week we looked at visualisations to aid understanding and interpretation of RNNs, today’s paper choice gives us a fascinating look at what happens inside a GAN (generative adversarial network). In addition to the paper, the code is available on GitHub and ... Continue Reading

Unsupervised learning of artistic styles with archetypal style analysis

Unsupervised learning of artistic styles with archetypal style analysis Wynen et al., NeurIPS'18 I’ve always enjoyed following work on artistic style transfer. The visual nature makes it easy to gain an appreciation for what is going on and the results are very impressive. It also something that’s been unfolding within the timespan of The Morning ... Continue Reading