I recently read Rebooting AI, as book discussing how the recent focus on Deep Learning as the path towards Artificial General Intelligence is flawed. It was a good read, and made many interesting points. It left me wanting to learn more about other areas of AI, and luckily there was a 'Suggested Reading' list at the end.
This is a Too Long; Didn't Read summary of the paper Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning. Inspired by the blog post on the same paper published by the Berkeley Artifical Intelligence Research (BAIR) Lab last week.