Foundations of Deep Reinforcement Learning: Theory and Practice in Python Graesser Laura
Foundations of Deep Reinforcement Learning: Theory and Practice in Python Graesser Laura The Contemporary Introduction to Deep Reinforcement Learning that Combines Theory and PracticeDeep…
Specifikacia Foundations of Deep Reinforcement Learning: Theory and Practice in Python Graesser Laura
Foundations of Deep Reinforcement Learning: Theory and Practice in Python Graesser Laura
The Contemporary Introduction to Deep Reinforcement Learning that Combines Theory and PracticeDeep reinforcement learning (deep RL) combines deep learning and reinforcement learning, in which artificial agents learn to solve sequential decision-making problems. It starts with intuition, then carefully explains the theory of deep RL algorithms, discusses implementations in its companion software library SLM Lab, and finishes with the practical details of getting deep RL to work.This guide is ideal for both computer science students and software engineers who In the past decade deep RL has achieved remarkable results on a range of problems, from single and multiplayer games-such as Go, Atari games, and DotA 2-to robotics.Foundations of Deep Reinforcement Learning is an introduction to deep RL that uniquely combines both theory and implementation.
Deep Learning with Python