Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow
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Köp båda 2 för 668 krSudharsan Ravichandiran Sudharsan Ravichandiran is a data scientist, researcher, artificial intelligence enthusiast, and YouTuber (search for Sudharsan reinforcement learning). He completed his bachelors in information technology at Anna University. His area of research focuses on practical implementations of deep learning and reinforcement learning, which includes natural language processing and computer vision. He used to be a freelance web developer and designer and has designed award-winning websites. He is an open source contributor and loves answering questions on Stack Overflow.
Table of Contents Introduction to Reinforcement Learning Getting started with OpenAI and Tensorflow Markov Decision process and Dynamic Programming Gaming with Monte Carlo Tree Search Temporal Difference Learning Multi-Armed Bandit Problem Deep Learning Fundamentals Deep Learning and Reinforcement Playing Doom With Deep Recurrent Q Network Asynchronous Advantage Actor Critic Network Policy Gradients and Optimization Capstone Project - Car Racing using DQN Current Research and Next Steps