Search Results for - Narrowed by: Machine learning. - Reinforcement learning.

Learn Python in five minutes with Colab Notebook.

2024-05-26T12:34:42Z

by Gift, Noah, presenter.
https://learning.oreilly.com/videos/~/04083022VIDEOPAIML/?ar https://go.oreilly.com/library-access/library/view/-/04083022VIDEOPAIML/?ar https://learning.oreilly.com/videos/~/04083022VIDEOPAIML
Format: Video recording

State-of-the-art deep learning models in Tensorflow : modern machine learning in the Google colab ecosystem

2024-05-26T12:34:42Z

by Paper, David.
https://learning.oreilly.com/library/view/~/9781484273418 https://learning.oreilly.com/library/view/~/9781484273418/?ar https://go.oreilly.com/library-access/library/view/-/9781484273418/?ar
Format: Electronic Resources

Hands-on reinforcement learning for games : implementing self-learning agents in games using artificial intelligence techniques

2024-05-26T12:34:42Z

by Lanham, Micheal, author.
https://learning.oreilly.com/library/view/~/9781839214936 https://learning.oreilly.com/library/view/~/9781839214936/?ar https://go.oreilly.com/library-access/library/view/-/9781839214936/?ar
Format: Electronic Resources

Foundations of deep reinforcement learning : theory and practice in Python

2024-05-26T12:34:42Z

by Graesser, Laura, author.
https://learning.oreilly.com/library/view/~/9780135172490/?ar https://go.oreilly.com/library-access/library/view/-/9780135172490/?ar
Format: Electronic Resources

Deep Reinforcement Learning in Action

2024-05-26T12:34:42Z

by Brown, Brandon, author.
https://learning.oreilly.com/library/view/~/9781617295430 https://go.oreilly.com/library-access/library/view/-/9781617295430/?ar https://learning.oreilly.com/library/view/~/9781617295430/?ar
Format: Electronic Resources

Training a reinforcement learning agent to play soccer (football).

2024-05-26T12:34:42Z

by Morales, Miguel (Computer scientist), presenter.
https://go.oreilly.com/library-access/library/view/-/10000MNLV202158/?ar https://learning.oreilly.com/videos/~/10000MNLV202158/?ar https://learning.oreilly.com/videos/~/10000MNLV202158
Format: Video recording

Reinforcement learning in motion

2024-05-26T12:34:42Z

by Tabor, Phil, speaker.
https://learning.oreilly.com/videos/~/10000MNLV201807/?ar https://learning.oreilly.com/videos/~/10000MNLV201807 https://go.oreilly.com/library-access/library/view/-/10000MNLV201807/?ar
Format: Electronic Resources

Reinforcement learning algorithms with Python : learn, understand, and develop smart algorithms for addressing AI challenges

2024-05-26T12:34:42Z

by Lonza, Andrea, author.
https://learning.oreilly.com/library/view/~/9781789131116/?ar https://learning.oreilly.com/library/view/~/9781789131116 https://go.oreilly.com/library-access/library/view/-/9781789131116/?ar
Format: Electronic Resources

Advancing our understanding of deep reinforcement learning with community-driven insights

2024-05-26T12:34:42Z

by Lange, Danny B., on-screen presenter.
https://go.oreilly.com/library-access/library/view/-/0636920370789/?ar https://learning.oreilly.com/videos/~/0636920370789/?ar https://learning.oreilly.com/videos/~/0636920370789
Format: Electronic Resources

Making reinforcement learning practical for real-world developers

2024-05-26T12:34:42Z

by Mallya, Sunil, on-screen presenter.
https://learning.oreilly.com/videos/~/0636920370994/?ar https://learning.oreilly.com/videos/~/0636920370994 https://go.oreilly.com/library-access/library/view/-/0636920370994/?ar
Format: Electronic Resources

Hands-on Q-learning with Python : practical Q-learning with OpenAI Gym, Keras, and TensorFlow

2024-05-26T12:34:42Z

by Habib, Nazia, author.
https://go.oreilly.com/library-access/library/view/-/9781789345803/?ar https://learning.oreilly.com/library/view/~/9781789345803/?ar https://learning.oreilly.com/library/view/~/9781789345803
Format: Electronic Resources

Deep learning and the game of Go

2024-05-26T12:34:42Z

by Pumperla, Max, author.
https://go.oreilly.com/library-access/library/view/-/9781617295324/?ar https://learning.oreilly.com/library/view/~/9781617295324/?ar
Format: Electronic Resources

Hands-on deep learning for games : leverage the power of neural networks and reinforcement learning to build intelligent games

2024-05-26T12:34:42Z

by Lanham, Micheal, author.
https://go.oreilly.com/library-access/library/view/-/9781788994071/?ar https://learning.oreilly.com/library/view/~/9781788994071 https://learning.oreilly.com/library/view/~/9781788994071/?ar
Format: Electronic Resources

Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

2024-05-26T12:34:42Z

by Lapan, Maxim, author.
Format: Books

Keras reinforcement learning projects : 9 projects exploring popular reinforcement learning techniques to build self-learning agents

2024-05-26T12:34:42Z

by Ciaburro, Giuseppe, author.
https://learning.oreilly.com/library/view/~/9781789342093 https://go.oreilly.com/library-access/library/view/-/9781789342093/?ar https://learning.oreilly.com/library/view/~/9781789342093/?ar
Format: Electronic Resources

Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

2024-05-26T12:34:42Z

by Lapan, Maxim, author.
https://go.oreilly.com/library-access/library/view/-/9781788834247/?ar https://learning.oreilly.com/library/view/~/9781788834247/?ar https://learning.oreilly.com/library/view/~/9781788834247
Format: Electronic Resources

TensorFlow for deep learning : from linear regression to reinforcement learning

2024-05-26T12:34:42Z

by Ramsundar, Bharath, author.
https://go.oreilly.com/library-access/library/view/-/9781491980446/?ar https://learning.oreilly.com/library/view/~/9781491980446/?ar
Format: Electronic Resources

Keras 2.x projects : 9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras

2024-05-26T12:34:42Z

by Ciaburro, Giuseppe, author.
https://learning.oreilly.com/library/view/~/9781789536645/?ar https://go.oreilly.com/library-access/library/view/-/9781789536645/?ar https://learning.oreilly.com/library/view/~/9781789536645
Format: Electronic Resources

TensorFlow pour le Deep learning

2024-05-26T12:34:42Z

by Ramsundar, Bharath.
https://learning.oreilly.com/library/view/~/9782412041161/?ar https://go.oreilly.com/library-access/library/view/-/9782412041161/?ar https://learning.oreilly.com/library/view/~/9782412041161
Format: Electronic Resources

Deep reinforcement learning and GANS Livelessons

2024-05-26T12:34:42Z

by Krohn, Jon, on-screen presenter.
https://learning.oreilly.com/videos/~/9780135171233/?ar https://go.oreilly.com/library-access/library/view/-/9780135171233/?ar
Format: Electronic Resources

Hands-on intelligent agents with OpenAI Gym : a step-by-step guide to develop AI agents using deep reinforcement learning

2024-05-26T12:34:42Z

by Palanisamy, Praveen, author.
https://learning.oreilly.com/library/view/~/9781788836579 https://learning.oreilly.com/library/view/~/9781788836579/?ar https://go.oreilly.com/library-access/library/view/-/9781788836579/?ar
Format: Electronic Resources

Chu tan shen du xue xi : shi yong TensorFlow = TensorFlow for deep learning : from linear regression to reinforcement learning

2024-05-26T12:34:42Z

by Ramsundar, Bharath, author.
https://go.oreilly.com/library-access/library/view/-/9789864769056/?ar https://learning.oreilly.com/library/view/~/9789864769056/?ar https://learning.oreilly.com/library/view/~/9789864769056
Format: Electronic Resources

Shen du qiang hua xue xi yu GAN ke cheng : shen du xue xi zhong de gao ji zhu ti.

2024-05-26T12:34:42Z

by Krohn, Jon, presenter.
https://learning.oreilly.com/videos/~/8882021010419/?ar https://go.oreilly.com/library-access/library/view/-/8882021010419/?ar https://learning.oreilly.com/videos/~/8882021010419
Format: Video recording

Multi-Agent Machine Learning : A Reinforcement Approach.

2024-05-26T12:34:42Z

by Schwartz, H. M.
Click to View
Format: Electronic Resources

Multi-agent machine learning : a reinforcement approach

2024-05-26T12:34:42Z

by Schwartz, Howard M., editor.
https://learning.oreilly.com/library/view/~/9781118362082 https://learning.oreilly.com/library/view/~/9781118362082/?ar https://go.oreilly.com/library-access/library/view/-/9781118362082/?ar
Format: Electronic Resources