Planned Readings

Deep Learning #8 - 23 June 2016 End-to-End Training of Deep Visuomotor Policies

https://arxiv.org/pdf/1504.00702v5.pdf

Deep Learning #7 - 9 June 2016 Benchmarking Deep Reinforcement Learning for Continuous Control

http://arxiv.org/pdf/1604.06778v2.pdf

Continuous control with deep reinforcement learning

http://arxiv.org/pdf/1509.02971v5.pdf

Deep Learning #6 - 26 May 2016 Playing atari with deep reinforcement learning

http://arxiv.org/abs/1312.5602

Mastering the game of Go with deep neural networks and tree search

http://www.nature.com/nature/journal/v529/n7587/full/nature16961.html

Deep Learning #5 - 12 May 2016 Variational Auto-encoded Deep Gaussian Processes http://arxiv.org/abs/1511.06455

Deep Learning #4 - 21 April 2016 Long Short-Term Memory Deep Learning #3 - 7 April 2016 ADVERSARIAL AUTOENCODERS- Goodfellow et.al (2016)

Deep Learning #2 - 24 March 2016 Represenation Learning: A Review and New Perspectives - Vincent et. al. (2014)

Deep Learning #1 - 10 March 2016 Deep Learning - Hinton et. al. (Nature, 2015)

Applications of Probabilistic Numerics and Bayesian Optimization (25 February 2016) Jim Holmström, Erik Ward:"Designing Engaging Games Using Bayesian Optimization"Silvia Cruciani, Ali Ghadirzadeh:"A Bayesian Exploration-Exploitation Approach for Optimal Online Sensing and Planning with a Visually Guided Mobile Robot"Cheng Zhang, Judith Butepage:"Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction"

[IMAGE]Anastasiia Varav, João ... de Carvalho"Metrics for Probabilistic Geometries"

Yanxia Zhang, Puren Guler"Robots that can adapt like animals"