Xiang, X., & Foo, S. (2021). Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems: Part 1—Fundamentals and Applications in Games, Robotics and Natural Language Processing. Machine learning and knowledge extraction, 3(3), 554-581. https://doi.org/10.3390/make3030029
Chicago Style (17th ed.) CitationXiang, Xuanchen, and Simon Foo. "Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems: Part 1—Fundamentals and Applications in Games, Robotics and Natural Language Processing." Machine Learning and Knowledge Extraction 3, no. 3 (2021): 554-581. https://doi.org/10.3390/make3030029.
MLA (9th ed.) CitationXiang, Xuanchen, and Simon Foo. "Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems: Part 1—Fundamentals and Applications in Games, Robotics and Natural Language Processing." Machine Learning and Knowledge Extraction, vol. 3, no. 3, 2021, pp. 554-581, https://doi.org/10.3390/make3030029.