Deep reinforcement learning in action /

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Deep Reinforcement Learning in Action teaches you how to program AI agents that adapt and improve based on direct feedback from their environment. In this example-rich tutorial, you’ll master foundational and advanced DRL techniques by taking on interesting challenges like navigating a maze and play...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser:
Zai, Alexander, Brown, Brandon
Format:
Elektronisch E-Book
Sprache:
Englisch
Veröffentlicht:
Shelter Island, New York : Manning Publications, [2020]
Ausgabe:
1st edition
Zusammenfassung:
Deep Reinforcement Learning in Action teaches you how to program AI agents that adapt and improve based on direct feedback from their environment. In this example-rich tutorial, you’ll master foundational and advanced DRL techniques by taking on interesting challenges like navigating a maze and playing video games. Along the way, you’ll work with core algorithms, including deep Q-networks and policy gradients, along with industry-standard tools like PyTorch and OpenAI Gym.
Umfang:
1 online resource (384 pages)
text file
Bibliografie:
Includes bibliographical references and index.
ISBN:
9781638350507
1638350507
Schlagworte:
Algorithms.
Artificial intelligence.
Reinforcement learning.
Machine learning.
Computational learning theory.
Bezugswerke:
Links: