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Arjun Prakash

dblp:263/7830 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Algorithmic game theory and mechanism design · 67% Mathematical optimization · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Mathematical optimization › minimax optimization
convex-concave optimization
0.712023
Convex-Concave Zero-Sum Stochastic Stackelberg Games · NeurIPS 2023
Algorithmic game theory and mechanism design
stackelberg game
0.712023
Convex-Concave Zero-Sum Stochastic Stackelberg Games · NeurIPS 2023
Algorithmic game theory and mechanism design › stackelberg game
stochastic stackelberg games
0.712023
Convex-Concave Zero-Sum Stochastic Stackelberg Games · NeurIPS 2023
YearPublicationVenuePosition
2025 Bi-Level Reinforcement Learning for Multi-Robot Systems
Arjun Prakash
AAMAS1
2023 Convex-Concave Zero-Sum Stochastic Stackelberg Games
Denizalp Goktas, Arjun Prakash, Amy Greenwald
NeurIPS2