Featured Book

Foundations of Deep Reinforcement Learning

Deep reinforcement learning (deep RL) combines deep learning and reinforcement learning, in which artificial agents learn to solve sequential decision-making problems. Foundations of Deep Reinforcement Learning is an introduction to deep RL that uniquely combines both theory and implementation. Laura Graesser and Wah Loon Keng start with intuition, then carefully explain the theory of deep RL algorithms, discuss implementations in its companion software library SLM Lab, and finish with the practical details of getting deep RL to work.