%0 Journal Article %1 Pateria_2021 %A Pateria, Shubham %A Subagdja, Budhitama %A hwee Tan, Ah %A Quek, Chai %D 2021 %I Association for Computing Machinery (ACM) %J ACM Computing Surveys %K 2021 reinforcement-learning survey %N 5 %P 1--35 %R 10.1145/3453160 %T Hierarchical Reinforcement Learning %U https://doi.org/10.1145%2F3453160 %V 54

@article{Pateria_2021, added-at = {2021-10-06T11:35:24.000+0200}, author = {Pateria, Shubham and Subagdja, Budhitama and hwee Tan, Ah and Quek, Chai}, biburl = {https://www.bibsonomy.org/bibtex/226b6b0d7643916eda28e5e2d9c0e921b/analyst}, description = {Hierarchical Reinforcement Learning: A Comprehensive Survey: ACM Computing Surveys: Vol 54, No 5}, doi = {10.1145/3453160}, interhash = {87462615494290ffc24144921fd5e26c}, intrahash = {26b6b0d7643916eda28e5e2d9c0e921b}, journal = {{ACM} Computing Surveys}, keywords = {2021 reinforcement-learning survey}, month = jun, number = 5, pages = {1--35}, publisher = {Association for Computing Machinery ({ACM})}, timestamp = {2021-10-06T11:35:24.000+0200}, title = {Hierarchical Reinforcement Learning}, url = {https://doi.org/10.1145%2F3453160}, volume = 54, year = 2021 }