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Hands-on Q-learning with Python: practical Q-learning with OpenAI Gym, Keras, and TensorFlow
Q-learning is the reinforcement learning approach behind Deep-Q-Learning and is a values-based learning algorithm in RL. This book will help you get comfortable with developing the effective agents for Q learning and also make you learn to effectively develop and deploy Deep Q networks for complex A...
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| Lenguaje: | eng |
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Packt Publishing
2019
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| Acceso en línea: | http://cds.cern.ch/record/2679959 |
| Sumario: | Q-learning is the reinforcement learning approach behind Deep-Q-Learning and is a values-based learning algorithm in RL. This book will help you get comfortable with developing the effective agents for Q learning and also make you learn to effectively develop and deploy Deep Q networks for complex AI applications. |
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