Jointly-Learned State-Action Embedding for Efficient Reinforcement Learning.

Paul J. Pritz|Liang Ma|Kin K. Leung


Anthology ID:DBLP:conf/cikm/Pritz0L21
Volume:CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021
Year:2021
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:1447-1456
URL:https://doi.org/10.1145/3459637.3482357
DOI:https://doi.org/10.1145/3459637.3482357
DBLP:conf/cikm/Pritz0L21
BibTeX:
@inproceedings{pritz-2021-jointlylearned, author = {Paul J. Pritz and Liang Ma and Kin K. Leung}, editor = {Gianluca Demartini and Guido Zuccon and J. Shane Culpepper and Zi Huang and Hanghang Tong}, title = {{Jointly-Learned State-Action Embedding for Efficient Reinforcement Learning}}, booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}}, pages = {1447--1456}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3459637.3482357}, doi = {https://doi.org/10.1145/3459637.3482357} }