2016-08

Deterministic Policy Gradients [JMLR]
Model-Free Episodic Control [arXiv]
[Human-level control through deep reinforcement learning] (https://github.com/domarps/papers-i-read/blob/master/humanLevelControl.md) [Nature]

2016-07

[Information-theoretical label embeddings for large-scale image classification] (https://github.com/domarps/papers-i-read/blob/master/infoTheoreticalEmb.md) [arXiv]
Incorporating Copying Mechanism in Sequence-to-Sequence Learning [arXiv]
Deep Reinforcement Learning with a Combinatorial Action Space for Predicting and Tracking Popular Discussion Threads [arXiv]
Generative Adversarial Text to Image Synthesis [arXiv]
Sequence to Sequence Learning with Neural Networks [arXiv]

Trust Region Policy Optimization [arXiv]
End-to-end LSTM-based dialog control optimized with supervised and reinforcement learning [arXiv]
Continuous Deep Q-Learning with Model-based Acceleration [arXiv]
Asynchronous Methods for Deep Reinforcement Learning [arXiv]
Dueling Network Architectures for Deep Reinforcement Learning - ICML'16 Best Paper Award [arXiv]
Deep Reinforcement Learning with Double Q-learning [arXiv]
Monte Carlo Bayesian Reinforcement Learning [arXiV]
Control of Memory, Active Perception, and Action in Minecraft [arXiV]
Deep Multiagent Reinforcement Learning for Partially Observable Parameterized Environments [arXiv]
Deep Compression - ICLR'16 Best Paper Award [arXiv]
Quoc Le's Tutorials on Deep Learning [Tutorial1] [Tutorial2]
Sequence to Sequence Learning with Neural Networks[arXiv]

Continuous Control with Deep Reinforcement Learning [arXiv]
Playing Atari with Deep Reinforcement Learning [arXiv]
Deep Reinforcement Learning With an Action Space Defined by Natural Language [arXiv]
WebNav : A New Large-Scale Task for Natural Language based Sequential Decision Making [arXiv]
Using Reinforcement Learning to Spider the Web Efficiently [ACM]
Focused Crawling using Temporal Difference Learning [Springer]

Co-Author Relationship Prediction in Heterogeneous Bibliographic Networks [link]