The Reinforcement Learning Workshop

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The Reinforcement Learning Workshop

The Reinforcement Learning Workshop

Alessandro Palmas, Emanuele Ghelfi, Dr. Alexandra Galina Petre, Mayur Kulkarni, Anand N.S., Quan Nguyen, Aritra Sen, Anthony So

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الفئات:

عام:

2020

الناشر:

Packt Publishing Pvt. Ltd.

اللغة:

english

ISBN 10:

1800200455

ISBN 13:

9781800200456

ملف:

EPUB, 22.78 MB

IPFS:

,

english, 2020

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قد تكون في قائمة إهتماماتك

Laura Graesser; Wah Loon Keng — Foundations of Deep Reinforcement Learning: Theory and Practice in Python

Phil Winder — Reinforcement Learning

H. M. Schwartz — Multi-Agent Machine Learning: A Reinforcement Approach

Schwartz, H. M. [Schwartz, H. M.] — Multi-Agent Machine Learning

Arup Kumar Sadhu; Amit Konar — Multi-Agent Coordination: A Reinforcement Learning Approach

Li, Chong; Qiu, Meikang — Reinforcement learning for cyber-physical systems with cybersecurity case studies

Taweh Beysolow — Applied Reinforcement Learning with Python. With OpenAI Gym, Tensorflow and Keras

Luis G. Serrano — Grokking Machine Learning MEAP V07

Farrukh Akhtar — Practical Reinforcement Learning

Farrukh Akhtar — Practical Reinforcement Learning: Develop self-evolving, intelligent agents with OpenAI Gym, Python and Java

Luca Massaron , Alberto Boschetti , Alexey Grigorev, Abhishek Thakur, Rajalingappaa Shanmugamani — Tensorflow Deep Learning Projects

Aske Plaat — Learning to Play: Reinforcement Learning and Games

Lapan, Maxim — Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

Farrukh Akhtar — Practical Reinforcement Learning

Maxim Lapan — Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

Sayon Dutta — Reinforcement Learning With TensorFlow: A Beginner’s Guide to Designing Self-Learning Systems With TensorFlow and OpenAI Gym

Ivan Gridin — Practical Deep Reinforcement Learning with Python

Dr. Engr. S.M. Farrukh Akhtar — Practical Reinforcement Learning: Develop self-evolving, intelligent agents with OpenAI Gym, Python and Java

Lapan, Maxim — Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

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