Deep Reinforcement Learning with Python - RLHF for Chatbots and L...

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Infohash : 845F68693A40A7D809A474364D9369E5E5B6912B



Deep Reinforcement Learning with Python: RLHF for Chatbots and Large Language Models, 2nd Edition



https://DevCourseWeb.com

English | 2024 | ISBN: 9798868802720 | 650 pages | PDF | 17.42 MB

Gain a theoretical understanding to the most popular libraries in deep reinforcement learning (deep RL). This new edition focuses on the latest advances in deep RL using a learn-by-coding approach, allowing readers to assimilate and replicate the latest research in this field.

New agent environments ranging from games, and robotics to finance are explained to help you try different ways to apply reinforcement learning. A chapter on multi-agent reinforcement learning covers how multiple agents compete, while another chapter focuses on the widely used deep RL algorithm, proximal policy optimization (PPO). You'll see how reinforcement learning with human feedback (RLHF) has been used by chatbots, built using Large Language Models, e.g. ChatGPT to improve conversational capabilities.

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[ DevCourseWeb.com ] Deep Reinforcement Learning with Python - RLHF for Chatbots and Large Language Models, 2nd Edition
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    • Bonus Resources.txt (0.4 KB)
    • DeepReinforcementLearningwithPython.pdf (17.4 MB)

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