Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays.

Somjit Nath|Mayank Baranwal|Harshad Khadilkar


Anthology ID:DBLP:conf/cikm/NathBK21
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:1346-1355
URL:https://doi.org/10.1145/3459637.3482386
DOI:https://doi.org/10.1145/3459637.3482386
DBLP:conf/cikm/NathBK21
BibTeX:
@inproceedings{nath-2021-revisiting, author = {Somjit Nath and Mayank Baranwal and Harshad Khadilkar}, editor = {Gianluca Demartini and Guido Zuccon and J. Shane Culpepper and Zi Huang and Hanghang Tong}, title = {{Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays}}, booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}}, pages = {1346--1355}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3459637.3482386}, doi = {https://doi.org/10.1145/3459637.3482386} }