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David Mguni — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
David Mguni
14
papers ·
50
citations ·
9
h-index
Queen Mary University of London
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Learning in Nonzero-Sum Stochastic Games with Potentials
2021 · 10 citations
On the Complexity of Computing Markov Perfect Equilibrium in General-Sum Stochastic Games
2021 · 9 citations
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation
2022 · 9 citations
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints
2022 · 2 citations
Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning
2023 · 2 citations
DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention
2021 · 1 citations
Fault Tolerant Multi-Agent Learning with Adversarial Budget Constraints
2025
Learning to Shape Rewards using a Game of Two Partners
2021
SEREN: Knowing When to Explore and When to Exploit
2022
Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction
2022
MANSA: Learning Fast and Slow in Multi-Agent Systems
2023
All Language Models Large and Small
2024
Top co-authors
Jun Wang
· 8
Yaodong Yang
· 5
Aivar Sootla
· 4
Taher Jafferjee
· 4
Jianhong Wang
· 2
Joel Jennings
· 2
Juliusz Ziomek
· 2
Kun Shao
· 2
Matthew Taylor
· 2
Oliver Slumbers
· 2
Stephen McAleer
· 2
Yali Du
· 2
Topics
Multi-Agent
Game AI
Safe RL
Value-Based
Exploration
Policy Gradient
Model-Based RL
Meta-RL