Credit Assignment
Credit Assignment is a fundamental problem in reinforcement learning that pertains to the determination of how much responsibility each action or state is attributed for the observed rewards in a sequential decision-making process, distinguishing it from related problems by its focus on distributing credit or blame across a sequence of decisions to guide future policy improvement.
331
Publications
26K
Citations
982
Authors
390
Institutions
Publications per year
2017–2026
159
Parents
331
Temporal difference learning and TD-Gammon
Communications of the ACM · 1995 · 1.5K citations · Full text
Temporal Difference Learning and TD-Gammon
G. Tesauro · ICGA Journal · 1995 · 769 citations · Full text
1–5 of 331
982
9
h-index
9
h-index
Institut national de recherche en sciences et technologies du numérique, France
6 publications · 387 citations
6
h-index
6
h-index
5
h-index
1–5 of 982
390
University of Oxford
Oxford, United Kingdom
11 h-index
39 publications
15.3K citations
University College London
London, United Kingdom
10 h-index
35 publications
1.9K citations
Google (United States)
Mountain View, United States
9 h-index
30 publications
2.3K citations
Tsinghua University
Beijing, China
9 h-index
34 publications
3.1K citations
Université de Montréal
Montreal, Canada
8 h-index
14 publications
2.4K citations
Princeton University
Princeton, United States
8 h-index
19 publications
883 citations
Oregon State University
Corvallis, United States
8 h-index
14 publications
661 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
7 h-index
17 publications
1.2K citations
1–8 of 390
Repository · 46 publications · 3.3K citations
21
h-index
Conference · 10 publications · 2K citations
10
h-index
Repository · 7 publications · 195 citations
7
h-index
7 publications · 2K citations
7
h-index
7 publications · 438 citations
7
h-index
1–5