Deep Reinforcement Learning in Action /
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...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Manning Publications,
2020.
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| Edition: | 1st edition. |
| Subjects: | |
| Online Access: | Connect to this electronic resource |
| Summary: | 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. |
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| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (384 pages) |
| Format: | Mode of access: World Wide Web. |