Model-Based Reinforcement Learning: From Data to Continuous Actions with a Python-based Toolbox
Explore a comprehensive and practical approach to reinforcement learning.
Reinforcement learning is an essential paradigm of machine learning, wherein an intelligent agent performs actions that ensure optimal behavior from devices. While this paradigm of machine learning has gained tremendous success and popularity in recent years, previous scholarship has focused either on theory―optimal control and dynamic programming – or on algorithms―most of which are simulation-based.
#معرفی_کتاب
@ai_python
