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Foundations of Deep Reinforcement Learning Graesser Loon Keng Soft Cover Theory

Description: Foundations of Deep Reinforcement Learning by Laura Graesser and Wah Loon KengSoft Cover Addison-Wesley, 2019. Minor shelf wear and rubbing with minimal crease on top right cover corner. Interior pages are clean, bright and tight. *Everything described is in the photographs* A solid, collectible copy. Shipped quickly, securely packaged with delivery confirmation. Save money with our combined shipping discounts!

Price: 29.95 USD

Location: Herndon, Virginia

End Time: 2025-01-29T16:59:11.000Z

Shipping Cost: 4.95 USD

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Foundations of Deep Reinforcement Learning Graesser Loon Keng Soft Cover TheoryFoundations of Deep Reinforcement Learning Graesser Loon Keng Soft Cover TheoryFoundations of Deep Reinforcement Learning Graesser Loon Keng Soft Cover TheoryFoundations of Deep Reinforcement Learning Graesser Loon Keng Soft Cover TheoryFoundations of Deep Reinforcement Learning Graesser Loon Keng Soft Cover Theory

Item Specifics

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

Educational Level: Adult & Further Education

Country/Region of Manufacture: United States

Number of Pages: 416 Pages

Publication Name: Foundations of Deep Reinforcement Learning : Theory and Practice in Python

Language: English

Publisher: Addison Wesley Professional

Item Height: 0.7 in

Subject: Intelligence (Ai) & Semantics, Databases / Data Mining

Publication Year: 2019

Type: Textbook

Item Weight: 20.5 Oz

Item Length: 9.2 in

Author: Laura Graesser, Wah Loon Keng

Subject Area: Computers

Series: Addison-Wesley Data and Analytics Ser.

Item Width: 6.9 in

Format: Trade Paperback

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