SLIDES AND VIDEO LECTURES
Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has been able to solve a wide range of complex decision making tasks that were previously out of reach for a machine. Thus, deep RL opens up many new applications in domains such as healthcare, robotics, smart grids, finance, and many more.
—— Vincent François-Lavet, Peter Henderson, Riashat Islam, Marc G. Bellemare and Joelle Pineau (2018), “An Introduction to Deep Reinforcement Learning”, in Foundations and Trends in Machine Learning: Vol. 11, No. 3-4. DOI: 10.1561/2200000071. pdf
Another recent survey Deep Reinforcement Learning by Yuxi Li Under review for Morgan & Claypool: Synthesis Lectures in Artificial Intelligence and Machine Learning draw a comprehensive blueprint on modern (Deep) Reinforcement Learning.
There are a lot of resources and courses we can refer.
Reinforcement learning at UCL by David Silver. Recommended for the first course (Videos and slides available, no HW).
CS 294-112 (2018Fall) Deep Reinforcement Learning at UC Berkeley
Spinning Up in Deep RL by OpenAI
Reinforcement Learning: An Introduction by the Awesome Richard S. Sutton, Second Edition, MIT Press, Cambridge, MA, 2018
Reinforcement Learning and Optimal Control by the Awesome Dimitri P. Bertsekas, Athena Scientific, 2019
Advanced Deep Learning and Reinforcement Learning at UCL(2018 Spring) taught by DeepMind’s Research Scientists
Deep RL Bootcamp (2017 Summer) at Berkeley
MS&E338 Reinforcement Learning at Stanford by Ben Van Roy
Deep Learning and Reinforcement Learning Summer School, Toronto 2018 hosted by the Canadian Institute For Advanced Research (CIFAR) and the Vector Institute, with participation and support from the Alberta Machine Intelligence Institute and the Institut québécois d’intelligence artificielle (MILA).
Workshop on Meta-Learning (MetaLearn 2018) at NeurIPS 2018
Infer to Control: Workshop on Probabilistic Reinforcement Learning and Structured Control at NeurIPS 2018
Deep Reinforcement Learning Workshop at NeurIPS 2018
Modeling the Physical World: Perception, Learning, and Control at NeurIPS 2018
Workshop on Causal Learning at NeurIPS 2018
Continual learning Workshop at NeurIPS 2018