April 20, 2016 preprint Open access Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation arXiv (Cornell University) DOI: 10.48550/arxiv.1604.06057 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 822 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access On Policy Reuse: An Expressive Language for Representing and Executing General Policies that Call Other Policies 2024 Proceedings of the International Conference on Automated Planning and Scheduling conference-paper Computer Science AI-based Problem Solving and Planning Open access 0 citations Model-based Reinforcement Learning: A Survey 2023 Foundations and Trends® in Machine Learning article Computer Science Reinforcement Learning in Robotics Open access cited by 2 patents 530 citations Hierarchical Reinforcement Learning 2022 Springer eBooks book-chapter Computer Science Reinforcement Learning in Robotics cited by 1 patent 1 citations Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey 2020 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access 6 citations 4 results References 0