The Transformers: Simplification Strategies for the Digital Enterprise, Graesser Andreas

Автор: Graesser Wendy
Название: Daisy and the New Chickens
ISBN: 1642375594 ISBN-13(EAN): 9781642375596
Издательство: Неизвестно
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Цена: 3309.00 р.
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Описание:

Daisy is at it again describing what life is like on her family's berry farm. This time she walks the reader through the steps it takes to raise baby chickens to be big and beautiful egg laying hens. There are a lot of cute details about chickens and the coop discussed. Our family hopes you enjoy it

Автор: Graesser Laura Harding, Wah Loon Keng
Название: Deep Reinforcement Learning in Python: A Hands-On Introduction
ISBN: 0135172381 ISBN-13(EAN): 9780135172384
Издательство: Pearson Education
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Описание: The Contemporary Introduction to Deep Reinforcement Learning that Combines Theory and Practice

Deep reinforcement learning (deep RL) combines deep learning and reinforcement learning, in which artificial agents learn to solve sequential decision-making problems. 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. 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.

• Understand each key aspect of a deep RL problem
• Explore policy- and value-based algorithms, including REINFORCE, SARSA, DQN, Double DQN, and Prioritized Experience Replay (PER)
• Delve into combined algorithms, including Actor-Critic and Proximal Policy Optimization (PPO)
• Understand how algorithms can be parallelized synchronously and asynchronously
• Run algorithms in SLM Lab and learn the practical implementation details for getting deep RL to work
• Explore algorithm benchmark results with tuned hyperparameters
• Understand how deep RL environments are designed