Cargando…

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

Mostrar otras versiones (1)

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autor principal:	Lonza, Andrea (Autor)
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	Birmingham, UK : Packt Publishing, 2019.
Temas:	Reinforcement learning. Machine learning. Artificial intelligence. Python (Computer program language) Artificial Intelligence Machine Learning Apprentissage par renforcement (Intelligence artificielle) Apprentissage automatique. Intelligence artificielle. Python (Langage de programmation) artificial intelligence. Artificial intelligence Machine learning Reinforcement learning
Acceso en línea:	Texto completo (Requiere registro previo con correo institucional)

Ejemplares similares

Hands-on Q-learning with Python : practical Q-learning with OpenAI Gym, Keras, and TensorFlow /
por: Habib, Nazia
Publicado: (2019)

Foundations of deep reinforcement learning : theory and practice in Python /
por: Graesser, Laura, et al.
Publicado: (2020)

Python reinforcement learning projects : eight hands-on projects exploring reinforcement learning algorithms using TensorFlow /
por: Saito, Sean, et al.
Publicado: (2018)

Reinforcement learning in motion /
Publicado: (2019)

Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more /
por: Lapan, Maxim
Publicado: (2018)

Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more /
por: Lapan, Maxim
Publicado: (2018)

Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more /
por: Lapan, Maxim
Publicado: (2018)

Deep reinforcement learning with Python : with Pytorch, Tensorflow and OpenAI Gym /
por: Sanghi, Nimish
Publicado: (2021)

Reinforcement Learning (RL) in Python.
Publicado: (2017)

TensorFlow machine learning cookbook : over 60 recipes to build intelligent machine learning systems with the power of Python /
por: McClure, Nick
Publicado: (2018)

TensorFlow machine learning cookbook : over 60 recipes to build intelligent machine learning systems with the power of Python /
por: McClure, Nick
Publicado: (2018)

TensorFlow for deep learning : from linear regression to reinforcement learning /
por: Ramsundar, Bharath, et al.
Publicado: (2018)

Einführung in Machine Learning mit Python : Praxiswissen Data Science /
por: Müller, Andreas C., et al.
Publicado: (2017)

Deep Learning - Grundlagen und Implementierung : Neuronale Netze mit Python und PyTorch programmieren /
por: Weidman, Seth
Publicado: (2020)

Hands-on intelligent agents with OpenAI Gym : a step-by-step guide to develop AI agents using deep reinforcement learning /
por: Palanisamy, Praveen
Publicado: (2018)

Hands-on intelligent agents with OpenAI Gym : a step-by-step guide to develop AI agents using deep reinforcement learning /
por: Palanisamy, Praveen
Publicado: (2018)

Scikit-learn, Keras, TensorFlow ni yoru jissen kikai gakushū /
por: Géron, Aurélien
Publicado: (2020)

Chu tan shen du xue xi : shi yong TensorFlow = TensorFlow for deep learning : from linear regression to reinforcement learning /
por: Ramsundar, Bharath, et al.
Publicado: (2018)

TensorFlow pour le Deep learning
por: Ramsundar, Bharath
Publicado: (2018)

Supervised learning with Python : concepts and practical implementation using Python /
por: Verdhan, Vaibhav
Publicado: (2020)

Deep Reinforcement Learning in Action /
por: Brown, Brandon, et al.
Publicado: (2020)

Programming PyTorch for deep learning : creating and deploying deep learning applications /
por: Pointer, Ian
Publicado: (2019)

Learn Python in five minutes with Colab Notebook.
Publicado: (2022)

TensorFlow reinforcement learning quick start guide : get up and running with training and deploying intelligent, self-learning agents using Python /
por: Balakrishnan, Kaushik
Publicado: (2019)

Hands-on unsupervised learning with Python : implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more /
por: Bonaccorso, Giuseppe
Publicado: (2019)

Machine learning avec Scikit-Learn : mise en œuvre et cas concrets /
por: Géron, Aurélien
Publicado: (2019)

HANDS-ON MACHINE LEARNING WITH SCIKIT-LEARN, KERAS, AND TENSORFLOW concepts, tools, and techniques to build intelligent systems /
por: Géron, Aurélien
Publicado: (2022)

Deep Learning with TensorFlow : Explore neural networks and build intelligent systems with Python, 2nd Edition.
por: Zaccone, Giancarlo
Publicado: (2018)

Deep Learning with TensorFlow : Explore neural networks and build intelligent systems with Python, 2nd Edition.
por: Zaccone, Giancarlo
Publicado: (2018)

Deep Learning with TensorFlow : Explore neural networks and build intelligent systems with Python, 2nd Edition.
por: Zaccone, Giancarlo
Publicado: (2018)

Hands-on meta learning with Python : meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow /
por: Ravichandiran, Sudharsan
Publicado: (2018)

Hands-on meta learning with Python : meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow /
por: Ravichandiran, Sudharsan
Publicado: (2018)

TensorFlow machine learning projects : build 13 real-world projects with advanced numerical computations using the Python ecosystem /
por: Jain, Ankit, et al.
Publicado: (2018)

TensorFlow machine learning projects : build 13 real-world projects with advanced numerical computations using the Python ecosystem /
por: Jain, Ankit, et al.
Publicado: (2018)

Machine learning with Python for everyone /
por: Fenner, Mark E.
Publicado: (2020)

Machine learning applications using Python : cases studies from healthcare, retail, and finance /
por: Mathur, Puneet
Publicado: (2019)

Reinforcement learning : with Open AI, TensorFlow and Keras using Python /
por: Nandy, Abhishek, et al.
Publicado: (2018)

Keras reinforcement learning projects : 9 projects exploring popular reinforcement learning techniques to build self-learning agents /
por: Ciaburro, Giuseppe
Publicado: (2018)

The Reinforcement Learning Workshop Learn How to Apply Cutting-Edge Reinforcement Learning Algorithms to a Wide Range of Control Problems.
por: Palmas, Alessandro
Publicado: (2020)

Making reinforcement learning practical for real-world developers /
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_li4vr37gb2p1926drku6h3jj00