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Deep Reinforcement Learning HandsOn Apply modern RL methods with deep Qne (USED)
£22.12
Condition:
Good
A book that has been read, but is in good condition. Minimal damage to the book cover eg. scuff marks, but no holes or tears. If this is a hard cover, the dust jacket may be missing. Binding has minimal wear. The majority of pages are undamaged with some creasing or tearing, and pencil underlining of text, but this is minimal. No highlighting of text, no writing in the margins, and no missing pages. See the seller’s listing for full details and description of any imperfections.
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Postage:
Doesn't post to United States.
Located in: Houston, United States
Delivery:
Varies
Returns:
30 days return. Buyer pays for return postage. If you use an eBay delivery label, it will be deducted from your refund amount.
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Seller assumes all responsibility for this listing.
eBay item number:375993150145
Item specifics
- Condition
- Brand
- Packt Publishing
- Publication Date
- 21-06-2018
- Country of Origin
- USA, United States
- Net Quantity/Number of Units
- 1
- Dimensions LxWxH - Cms
- 9.25X7.52X1.13
- ISBN-10
- 1788834240
- ISBN-13
- 9781788834247
- SKU
- SONG1788834240
- Book Title
- Deep Reinforcement Learning HandsOn Apply modern RL methods with
- No of Pages
- 546
- Release Title
- Deep Reinforcement Learning HandsOn Apply modern RL methods with
- ISBN
- 9781788834247
- Publication Year
- 2018
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Subject Area
- Computers
- Publication Name
- Deep Reinforcement Learning Hands-On : Apply Modern RL Methods, with Deep Q-Networks, Value Iteration, Policy Gradients, TRPO, AlphaGo Zero and More
- Publisher
- Packt Publishing, The Limited
- Item Length
- 3.6 in
- Subject
- Programming / Algorithms, Natural Language Processing, Intelligence (Ai) & Semantics
- Item Width
- 3 in
- Number of Pages
- 546 Pages
About this product
Product Identifiers
Publisher
Packt Publishing, The Limited
ISBN-10
1788834240
ISBN-13
9781788834247
eBay Product ID (ePID)
19046715964
Product Key Features
Number of Pages
546 Pages
Language
English
Publication Name
Deep Reinforcement Learning Hands-On : Apply Modern RL Methods, with Deep Q-Networks, Value Iteration, Policy Gradients, TRPO, AlphaGo Zero and More
Subject
Programming / Algorithms, Natural Language Processing, Intelligence (Ai) & Semantics
Publication Year
2018
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Length
3.6 in
Item Width
3 in
Additional Product Features
Intended Audience
Trade
Item description from the seller
Seller business information
VAT number: GB 252332141
I provide invoices with VAT separately displayed.
Seller Feedback (3,426)
- 9***9 (360)- Feedback left by buyer.Past monthVerified purchaseThe bible has arrived well before estimated delivery time and other to a little tear in the packaging, in good order. I assumed from the pictures that it came in a box cover, however, it was unboxed when I received it. This isn’t an issue as the leather cover is in lovely condition and has been well looked after. It was sold at a very generous price including shipping. The seller was very helpful and quick to reply to questions and I would recommend them. Thank you
- s***s (2996)- Feedback left by buyer.Past 6 monthsVerified purchaseCondition excellent, as described, well packaged, dispatched promptly.Excellent communication from seller. Arrived ahead of anticipated delivery dates. ARRIVED 1st May, expectected between 24th May and 3rd June. Thank you. No import tax payable. A very pleasing experience. Would recommend this seller. A book l have been seeking to replace for 7 years after it got misplaced when moving house after bereavement.Kimono as Art (USED) (#375574897552)
- a***l (338)- Feedback left by buyer.Past 6 monthsVerified purchaseAlthough the description details were misleading, the customer support was rather good. I ordered the 2-volume set of ‘Atlas Shrugged’, but received a single volume. It might not seem like much to others, but it’s a large book and a 2-set volume would have made it easier to read. In addition, poor packaging damaged the DJ. Anyways, after sending firm, yet precise and polite emails, the situation was promptly resolved, hence the positive feedback; and, why I would buy again from the seller. 👍
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