We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
This item is currently unavailable
Now Publishers Inc Introduction to Multi-Armed Bandits (Foundations and Trends® in Machine Learning)
Price data last checked 40 day(s) ago - refreshing...
One email. No newsletter. No nudges.
Gone for 40 days. Could come back at any time — we're watching for you.
Out of stock 40 days · last price £164 · longest previous gap was 1 days
NEW HERE?
Amazon shows you one price. We show you all of them.
Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.
WHAT'S ON THIS PAGE
when this has been cheap or pricey
where the price is heading next
all-time high & low, recent range
name your number, we'll email you
Price History & Forecast
Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.
Last 34 days • 34 data points (No recent data available)
Price Distribution
Price distribution over 34 days • 2 price levels
Price Analysis
Most common price: £162 (17 days, 50.0%)
Price range: £162 - £164
Price levels: 2 different prices over 34 days
Description
Product Specifications
- Brand
- Now Publishers Inc
- Format
- paperback
- ASIN
- 168083620X
- Domain
- Amazon UK
- Release Date
- 30 November 2019
- Listed Since
- 15 November 2019
Barcode
No barcode data available
Similar Products You Might Like
Multi-Armed Bandits: Theory and Applications to Online Learning in Networks (Synthesis Lectures on Learning, Networks, and Algorithms)
Springer
Regret Analysis of Stochastic and Nonstochastic Multi-Armed Bandit Problems (Foundations and Trends (R) in Machine Learning)
Not Avail
Foundations and Applications of Sensor Management (Signals and Communication Technology)
Springer
An Introduction to Universal Artificial Intelligence (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)
An Introduction to Universal Artificial Intelligence (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)
Model-based Reinforcement Learning: A Survey (Foundations and Trends® in Machine Learning)
Experimentation for Engineers: From A/B Testing to Bayesian Optimization
Competitive Markov Decision Processes
Springer
High Dimensional Probability VIII: The Oaxaca Volume: 74 (Progress in Probability, 74)
Birkhauser
Competitive Markov Decision Processes: With 57 Illustrations
Springer
Algorithms for Decision Making
Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
MIT Press
Theory of Stochastic Objects: Probability, Stochastic Processes and Inference (Chapman & Hall/CRC Texts in Statistical Science)
CRC Press
Behavioral Economics (Routledge Advanced Texts in Economics and Finance)
Routledge
Behavioral Economics (Routledge Advanced Texts in Economics and Finance)
Routledge
Reinforcement Learning – An Introduction
MIT Press
Behavioral Economics (Routledge Advanced Texts in Economics and Finance)
Routledge
Sequential Monte Carlo Methods in Practice - Springer Book
Springer
Stochastic Optimization Methods for Policy Evaluation in Reinforcement Learning (Foundations and Trends® in Optimization)
Introduction to Probability with Mathematica (Textbooks in Mathematics)
CRC Press
Machine Learning – A Probabilistic Perspective
MIT Press
Bounded Rationality (The Economy Key Ideas)
Agenda Publishing
Mathematical Foundations of Reinforcement Learning