Hands-on reinforcement learning with Python : master reinforcement and deep reinforcement learning using openAI gym and tensorflow / Sudharsan Ravichandiran
Material type:
- 9781788836524
- Q 325.5 .R38 2018

Item type | Current library | Home library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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National University - Manila | LRC - Main General Circulation | Machine Learning | GC Q 325.5 .R38 2018 (Browse shelf(Opens below)) | c.1 | Available | NULIB000017970 |
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GC Q 325.5 .K45 2019 Deep learning / | GC Q 325.5 .L37 2018 Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more / | GC Q 325.5 .M64 2018 Foundations of machine learning / | GC Q 325.5 .R38 2018 Hands-on reinforcement learning with Python : master reinforcement and deep reinforcement learning using openAI gym and tensorflow / | GC Q 325.6 .B49 2019 Applied reinforcement learning with Python : with OpenAI Gym, Tensorflow and Keras / | GC Q 325.6 .P53 2022 Deep reinforcement learning / | GC Q 325.6 .S88 2018 Reinforcement learning : an introduction / |
Activation functions.
Reinforcement learning is a self-evolving type of machine learning that takes us closer to achieving true artificial intelligence. This easy-to-follow guide explains everything from scratch using rich examples written in Python.
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