Distributional Reinforcement Learning (Adaptive Computation and Machine Learning)

Price: $60.00
(as of Dec 24,2024 07:49:59 UTC – Details)

Publisher ‏ : ‎ The MIT Press (May 30, 2023)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 384 pages
ISBN-10 ‏ : ‎ 0262048019
ISBN-13 ‏ : ‎ 978-0262048019
Item Weight ‏ : ‎ 1.35 pounds
Dimensions ‏ : ‎ 6.19 x 0.85 x 9.31 inches

Distributional Reinforcement Learning (Adaptive Computation and Machine Learning) is a cutting-edge approach to reinforcement learning that has gained significant attention in recent years. This method seeks to learn the entire distribution of returns rather than just the expected value, allowing for a more nuanced understanding of the uncertainty and variability in the environment.

In this post, we will delve into the key concepts and techniques of distributional reinforcement learning, exploring how it differs from traditional reinforcement learning approaches and the benefits it offers. We will also discuss some of the latest research and applications of this exciting area of machine learning.

Stay tuned for a deep dive into Distributional Reinforcement Learning and how it is shaping the future of artificial intelligence and machine learning! #DistributionalReinforcementLearning #MachineLearning #ArtificialIntelligence
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