09.Machine learning12. Reinforcement learning - sporedata/researchdesigneR GitHub Wiki
- Books
- Articles
[1] Brandon Brown, Alexander Zai. Deep Reinforcement Learning in Action. [2] Maxim Lapan. Deep Reinforcement Learning Hands-On. [3] Enes Bilgin. Mastering Reinforcement Learning with Python - Build next-generation, self-learning models using reinforcement learning techniques and best practices. [4] Laura Graesser, Wah Loon Keng. Foundations of Deep Reinforcement Learning - Theory and Practce in Python. [5] Hao Dong, Zihan Ding, Shanghang Zhang. Deep Reinforcement Learning Fundamentals, Research and Applications. [6] Hao Dong, Zihan Ding, Shanghang Zhang. Deep Reinforcement Learning Fundamentals, Research and Applications. [7] Miguel Morales. grokking Deep Reinforcement Learning. [8] Boris Belousov, Hany Abdulsamad, Pascal Klink, Simone Parisi and Jan Peters. Reinforcement Learning Algorithms: Analysis and Applications. [9] Reinforcement Learning in R.pdf. [10] Alessandro Palmas, Emanuele Ghelfi, Dr. Alexandra Galina Petre, Mayur Kulkarni, Anand N.S., Quan Nguyen, Aritra Sen, Anthony So, and Saikat Basak. The ReinforcementLearningWorkshop. [11] rl_breast_cancer_screening.pdf. [12] Sudharsan Ravichandiran. Deep Reinforcement Learning with Python.