Ruihao Zhu

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #28,759 of 35,345 by trust here, #29,412 by citations
• Reinforcement Learning — 19 citations into it
• Management Science and Operations Research — 18 citations into it; #9,563 of 11,946 by trust here, #8,906 by citations
• Computer Networks and Communications — 7 citations into it

Whom Ruihao Zhu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Peter Auer
2. Aurélien Garivier
3. Nicolò Cesa-Bianchi
4. Zihan Zhang
5. Thomas Jaksch
6. Sébastien Bubeck
7. Nicholas I. Fisher
8. Tor Lattimore
9. Csaba Szepesvari
10. Ian Osband

Who trusts Ruihao Zhu overall

1. Ahmed Touati

Papers from Ruihao Zhu's perspective

Ordered by how strongly the researchers Ruihao Zhu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reinforcement Learning: An Introduction
2. Near-optimal Regret Bounds for Reinforcement Learning
3. Markov Decision Processes: Discrete Stochastic Dynamic Programming
4. Finite-time Analysis of the Multiarmed Bandit Problem
5. The Nonstochastic Multiarmed Bandit Problem
6. Optimal Adaptive Policies for Markov Decision Processes
7. Probability Inequalities for Sums of Bounded Random Variables
8. Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems
9. Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs
10. Optimistic posterior sampling for reinforcement learning: worst-case regret bounds

Their papers

• Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism (2020) — 122 citations
• Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs (2021) — 49 citations