Low-Rank and Temporal Smoothness Regularization on Value-Based Deep Reinforcement Learning
Edward Yam
EECS Department, University of California, Berkeley
Technical Report No. UCB/EECS-2022-218
August 18, 2022
http://www2.eecs.berkeley.edu/Pubs/TechRpts/2022/EECS-2022-218.pdf
Advisors: Joseph Gonzalez
BibTeX citation:
@mastersthesis{Yam:EECS-2022-218,
Author= {Yam, Edward},
Title= {Low-Rank and Temporal Smoothness Regularization on Value-Based Deep Reinforcement Learning},
School= {EECS Department, University of California, Berkeley},
Year= {2022},
Month= {Aug},
Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2022/EECS-2022-218.html},
Number= {UCB/EECS-2022-218},
}
EndNote citation:
%0 Thesis %A Yam, Edward %T Low-Rank and Temporal Smoothness Regularization on Value-Based Deep Reinforcement Learning %I EECS Department, University of California, Berkeley %D 2022 %8 August 18 %@ UCB/EECS-2022-218 %U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2022/EECS-2022-218.html %F Yam:EECS-2022-218