Order Total (1 Item Items):
Shipping Destination:
Foundations Deep Reinforcement Learning by Graesser Laura (13 results)
Feedback
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (13)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition
Binding
- All Bindings
- Hardcover (No further results match this refinement)
- Softcover (13)
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (6)
- Not Print on Demand (13)
Language (1)
Free Shipping
Seller Location
Seller Rating
-
Foundations of Deep Reinforcement Learning: Theory and Practice in Python (Addison-Wesley Data & Analytics Series)
Published by Addison-Wesley Professional, 2019
ISBN 10: 0135172381 ISBN 13: 9780135172384
Language: English
Condition: very_good. Book is in very good condition. Clean with little to no signs of wear or markings highlights.
-
Foundations of Deep Reinforcement Learning : Theory and Practice in Python
Published by Addison Wesley Professional, 2019
ISBN 10: 0135172381 ISBN 13: 9780135172384
Language: English
Condition: Good. Used book that is in clean, average condition without any missing pages.
-
Foundations of Deep Reinforcement Learning : Theory and Practice in Python
Published by Addison-Wesley Professional, 2019
ISBN 10: 0135172381 ISBN 13: 9780135172384
Language: English
Condition: As New. Unread book in perfect condition.
-
Foundations of Deep Reinforcement Learning : Theory and Practice in Python
Published by Addison-Wesley Professional, 2019
ISBN 10: 0135172381 ISBN 13: 9780135172384
Language: English
Condition: New.
-
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
-
Foundations of Deep Reinforcement Learning
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
£ 38.11
Convert currency£ 5.02 shipping from United Kingdom to U.S.A.Quantity: 3 available
Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
-
Foundations of Deep Reinforcement Learning : Theory and Practice in Python
Published by Addison-Wesley Professional, 2019
ISBN 10: 0135172381 ISBN 13: 9780135172384
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 33.68
Convert currency£ 15 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: New.
-
Foundations of Deep Reinforcement Learning : Theory and Practice in Python
Published by Addison-Wesley Professional, 2019
ISBN 10: 0135172381 ISBN 13: 9780135172384
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 35.33
Convert currency£ 15 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: As New. Unread book in perfect condition.
-
Foundations of Deep Reinforcement Learning: Theory and Practice in Python (Addison-Wesley Data & Analytics Series)
Published by Addison-Wesley Professional, 2019
ISBN 10: 0135172381 ISBN 13: 9780135172384
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 41.07
Convert currency£ 11.98 shipping from United Kingdom to U.S.A.Quantity: 3 available
Add to basketCondition: New. In.
-
Foundations of Deep Reinforcement Learning: Theory and Practice in Python
Published by Addison-Wesley Professional, 2019
ISBN 10: 0135172381 ISBN 13: 9780135172384
Language: English
£ 45.19
Convert currency£ 10 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 379 pages. 9.00x7.00x0.50 inches. In Stock.
-
Foundations of Deep Reinforcement Learning: Theory and Practice in Python
Published by Addison-Wesley Professional, 2019
ISBN 10: 0135172381 ISBN 13: 9780135172384
Language: English
£ 57.66
Convert currency£ 10 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: Brand New. 379 pages. 9.00x7.00x0.50 inches. In Stock.
-
Foundations of Deep Reinforcement Learning : Theory and Practice in Python
Published by Pearson Education Dez 2019, 2019
ISBN 10: 0135172381 ISBN 13: 9780135172384
Language: English
£ 46.03
Convert currency£ 26.49 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. Neuware - In just a few years, deep reinforcement learning (DRL) systems such as DeepMinds DQN have yielded remarkable results. This hybrid approach to machine learning shares many similarities with human learning: its unsupervised self-learning, self-discovery of strategies, usage of memory, balance of exploration and exploitation, and its exceptional flexibility. Exciting in its own right, DRL may presage even more remarkable advances in general artificial intelligence.
-
Foundations of Deep Reinforcement Learning (Paperback)
Published by Pearson Education (US), Boston, 2020
ISBN 10: 0135172381 ISBN 13: 9780135172384
Language: English
£ 66.89
Convert currency£ 27.71 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. 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 parallelised 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 designedThis guide is ideal for both computer science students and software engineers who are familiar with basic machine learning concepts and have a working understanding of Python. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
