Reinforcement Learning: An Introduction

By:

Sutton, Richard S

Contributor(s):

Barto, Andrew G

Material type: Text

TextPublication details: MIT Press 2018 USAEdition: 2nd edDescription: 526pISBN:

9780262039246

Subject(s):

Computer Engineering

DDC classification:

006.31 SUT

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Holdings
Item type	Current library	Item location	Collection	Call number	Status	Date due	Barcode	Item holds
Book	NIMA Knowledge Centre	9th Floor Reading Zone	General	006.31 SUT (Browse shelf(Opens below))	Available		T0052714
Reference Book	NIMA Knowledge Centre	7th Floor Silence Zone	Reference	006.31 SUT (Browse shelf(Opens below))	Not For Loan		T0052715

Total holds: 0

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Introduction
Part 1: Tabular Solution Methods
Multi Armed Bandits
Finite Markov Decision Processes
Dynamic Programming
Monte Carlo Methods
Temporal Difference Learning
N-Step Bootstrapping
Planning and Learning with Tabular Methods
Part 2: Approximate Solution Methods
On-Policy Prediction with Approximation
On-Policy Control with Approximation
Off-Policy Methods with Approximation
Eligibility Traces
Policy Gradient Methods
Part 3: Looking Deeper
Psychology
Neuroscience
Applications and Case Studies
Frontiers

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