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Arun Verma — most-cited papers & profile · Reinforcement Learning
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Arun Verma
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Most-cited papers
Stochastic Multi-Armed Bandits with Limited Control Variates
2026
COBRA: Contextual Bandit Algorithm for Ensuring Truthful Strategic Agents
2025
Active Human Feedback Collection via Neural Contextual Dueling Bandits
2025
Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback
2019
Thompson Sampling for Unsupervised Sequential Selection
2020
Online Algorithm for Unsupervised Sequential Selection with Contextual Information
2020
Censored Semi-Bandits for Resource Allocation
2021
Stochastic Multi-Armed Bandits with Control Variates
2021
Federated Neural Bandits
2022
Synopsis: Sequential Decision Problems with Weak Feedback
2022
Sequential Decision Problems with Weak Feedback
2022
Exploiting Correlated Auxiliary Feedback in Parameterized Bandits
2023
Neural Dueling Bandits: Preference-Based Optimization with Human Feedback
2024
Keep Everyone Happy: Online Fair Division of Numerous Items with Few Copies
2024
Top co-authors
Bryan Kian Hsiang Low
· 6
Manjesh K. Hanawal
· 5
Zhongxiang Dai
· 4
Arun Rajkumar
· 3
Indrajit Saha
· 2
Makoto Yokoo
· 2
Patrick Jaillet
· 2
Raman Sankaran
· 2
Xiaoqiang Lin
· 2
Yao Shu
· 2
Csaba Szepesv\'ari
· 1
Daniela Rus
· 1
Topics
cs.LG
cs.AI
stat.ML
Exploration
Value-Based
Multi-Agent