Model Based RL Papers/Blogs

[PDF] Action-Conditional Video Prediction using Deep Networks in Atari Games
[PDF] Recurrent Environment Simulator
[PDF] The Predictron: End-To-End Learning and Planning
[PDF] Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning
[PDF] Value Prediction Network
[PDF] Classical Planning with Simulators: Results on the Atari Video Games
[PDF] What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning
[PDF] [Webpage] Model-Based Reinforcement Learning for Atari
[PDF] Generative Adversarial Networks for Model BasedReinforcement Learning with Tree Search
[PDF] Planning with Pixels in (Almost) Real Time
[PDF] Efficient Model–Based Deep Reinforcement Learning withVariational State Tabulation
[PDF] Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning
[PDF] Model-free, Model-based, and General Intelligence
[Blog] ApproxiPong: Alpha Go Zero on Pong
[PDF] [Code] Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees

Other Related/Interesting Papers

[PDF] [Blog] [Official Code] [Talk] Progressive Growing of GANs for Improved Quality, Stability, and Variation, ICLR 2018
[PDF] [Blog] Neural scene representation and rendering
[PDF] Image-to-Image Translation with Conditional Adversarial Networks
[PDF] Point GAN
[PDF] Autoencoding beyond pixels using a learned similarity metric
[PDF] Label-Free Supervision of Neural Networks with Physics and Domain Knowledge
[PDF] [Blog 1] [Blog 2] [Code] U-Net Skip Connections, Deconv explained
[PDF] [Blog 1] Siamese Neural Networks for One-shot Image Recognition
[PDF] The Importance of Skip Connections in Biomedical Image Segmentation
[PDF] Dense Transformer Networks
[PDF]Accurate Image Super-Resolution Using Very Deep Convolutional Networks
[PDF] [Blog 1]Self-Attention Generative Adversarial Networks
[PDF] Video Pixel Networks

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