Exploitation Trade-Off is a decision-making framework in autonomous exploration that balances the utilization of known rewarding actions against the acquisition of new information to improve future performance.
154
Publications
11.8K
Citations
442
Authors
264
Institutions
Publications per year
2017–2026
79
Parents
Publications
154
Using confidence bounds for exploitation-exploration trade-offs
Peter Auer · 2003 · 1.3K citations
Inertia Weight strategies in Particle Swarm Optimization
Jagdish Chand Bansal, Poonam Singh, Mukesh Saraswat et al. · 2011 · 566 citations
1–5 of 154
Authors
442
- RC
5
h-index
- SW
4
h-index
- MS
4
h-index
- VD
3
h-index
- PM
3
h-index
1–5 of 442
Institutions
264
University College London
London, United Kingdom
9 h-index
29 publications
1.3K citations
University of Arizona
Tucson, United States
8 h-index
17 publications
870 citations
National University of Singapore
Singapore, Singapore
8 h-index
14 publications
478 citations
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
7 publications
254 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
10 publications
905 citations
Columbia University
New York, United States
4 h-index
5 publications
288 citations
The University of Texas at Austin
Austin, United States
3 h-index
3 publications
65 citations
Oregon Health & Science University
Portland, United States
3 h-index
3 publications
320 citations
1–8 of 264
Venues
- arXiv (Cornell University)
Repository · 14 publications · 1.3K citations
10
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- Management Science
4 publications · 357 citations
4
h-index
- bioRxiv (Cold Spring Harbor Laboratory)
Repository · 4 publications · 67 citations
4
h-index
- Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 3 publications · 131 citations
3
h-index
- Nature Communications
3 publications · 114 citations
3
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1–5