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Hoi-To Wai — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Hoi-To Wai
8
papers ·
189
citations ·
20
h-index
Chinese University of Hong Kong · Cyber University of Korea · University of Hong Kong
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization
2018 · 119 citations
Non-asymptotic Analysis of Biased Stochastic Approximation Scheme
2019 · 27 citations
Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise
2020 · 26 citations
On the Convergence of Consensus Algorithms with Markovian Noise and Gradient Bias
2020 · 6 citations
On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning
2021 · 5 citations
Multilinear Tensor Low-Rank Approximation for Policy-Gradient Methods in Reinforcement Learning
2025
Top co-authors
Eric Moulines
· 3
Alexey Naumov
· 2
Alain Durmus
· 1
Antonio G. Marqués
· 1
Belhal Karimi
· 1
Blazej Miasojedow
· 1
Maxim Kaledin
· 1
Mingyi Hong
· 1
Sergey Samsonov
· 1
Sergio Rozada
· 1
Vladislav Tadic
· 1
Zhaoran Wang
· 1
Topics
Value-Based
Model-Based RL
Policy Gradient
Multi-Agent
Safe RL
RLHF & Alignment