Discounted Reward Optimization
Discounted Reward Optimization is a sequential decision-making framework in Markov Decision Processes that belongs to the class of objective criteria for evaluating policies, distinguished by its maximization of the expected sum of discounted rewards over time, where future rewards are attenuated by a discount factor less than one.
142
Publications
7.3K
Citations
336
Authors
193
Institutions
Publications per year
2017–2026
39
142
1–5 of 142
336
4
h-index
4
h-index
3
h-index
Hong Kong University of Science and Technology, Hong Kong SAR China
2 publications · 49 citations
2
h-index
2
h-index
1–5 of 336
193
University of Michigan
Ann Arbor, United States
7 h-index
12 publications
1.1K citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
6 publications
259 citations
University of Science and Technology of China
Hefei, China
4 h-index
6 publications
317 citations
University of Maryland, College Park
College Park, United States
4 h-index
6 publications
187 citations

Cornell University
Ithaca, United States
4 h-index
4 publications
295 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
3 h-index
7 publications
341 citations

Xi'an Jiaotong University
Xi'an, China
3 h-index
5 publications
101 citations

Tanta University
Tanta, Egypt
3 h-index
3 publications
60 citations
1–8 of 193
5 publications · 529 citations
5
h-index
5 publications · 179 citations
5
h-index
5 publications · 323 citations
5
h-index
5 publications · 161 citations
5
h-index
JAP · 3 publications · 87 citations
3
h-index
1–5