andrewliao11/Deep-Reinforcement-Learning-Survey
My Exploration on Deep Reinforcement Learning Survey
This resource helps machine learning practitioners navigate the foundational research in deep reinforcement learning (DRL). It provides a curated list of influential academic papers, along with personal summaries and opinions from the author, helping users understand core concepts and breakthroughs. Researchers, students, and engineers looking to build intelligent agents or decision-making systems will find this useful for getting up to speed on DRL.
435 stars. No commits in the last 6 months.
Use this if you are a machine learning researcher, student, or engineer who wants a guided overview of important academic papers in deep reinforcement learning, saving time on initial literature review.
Not ideal if you are looking for a practical, ready-to-use DRL algorithm implementation or a comprehensive, regularly updated academic survey that covers the very latest research.
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Dec 23, 2017
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