Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo zero and more / Maxim Lapan.

By: Lapan, MaximMaterial type: TextTextSeries: Expert insightPublisher: Birmingham : Packt Publishing Ltd, 2018Copyright date: ©2018Description: xvi, 523 pages : illustrations ; 24 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 1788834240; 9781788834247Subject(s): Reinforcement learning | Machine learning | Natural language processing (Computer science) | Artificial intelligenceDDC classification: 006.31 LOC classification: Q325.6 | .L299 2018
Contents:
What is reinforcement learning? -- OpenAI Gym -- Deep learning with Py Torch -- The cross-entropy method -- Tabular learning and the bellman equation -- Deep Q-networks -- DQN extensions -- Stocks trading using RL -- Policy gradients : an alternative -- The actor-critic method -- Asynchronous advantage actor-critic -- Chatbots training with RL -- Web navigation -- Continuous action space -- Trust regions : TRPO, PPO, and ACKTR -- Black-box optimization in RL -- Beyond model-free : imagination -- AlphaGo Zero.
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Item type Current library Collection Call number Copy number Status Date due Barcode
Book Book University of Macedonia Library
Βιβλιοστάσιο Α (Stack Room A) 		Main Collection Q325.6.L299 2018 (Browse shelf (Opens below)) 1 Available 0013156859

Includes bibliographical references (page 512) and index.

What is reinforcement learning? -- OpenAI Gym -- Deep learning with Py Torch -- The cross-entropy method -- Tabular learning and the bellman equation -- Deep Q-networks -- DQN extensions -- Stocks trading using RL -- Policy gradients : an alternative -- The actor-critic method -- Asynchronous advantage actor-critic -- Chatbots training with RL -- Web navigation -- Continuous action space -- Trust regions : TRPO, PPO, and ACKTR -- Black-box optimization in RL -- Beyond model-free : imagination -- AlphaGo Zero.

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