Hao, Botao

22 publications

ICML 2024 Efficient Exploration for LLMs Vikranth Dwaracherla, Seyed Mohammad Asghari, Botao Hao, Benjamin Van Roy

TMLR 2024 Sequential Best-Arm Identification with Application to P300 Speller Xin Zhou, Botao Hao, Tor Lattimore, Jian Kang, Lexin Li

TMLR 2023 Bridging Imitation and Online Reinforcement Learning: An Optimistic Tale Botao Hao, Rahul Jain, Dengwang Tang, Zheng Wen

ICML 2023 Leveraging Demonstrations to Improve Online Learning: Quality Matters Botao Hao, Rahul Jain, Tor Lattimore, Benjamin Van Roy, Zheng Wen

AISTATS 2022 Confident Least Square Value Iteration with Local Access to a Simulator Botao Hao, Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvari

ICML 2022 Contextual Information-Directed Sampling Botao Hao, Tor Lattimore, Chao Qin

ALT 2022 Efficient Local Planning with Linear Function Approximation Dong Yin, Botao Hao, Yasin Abbasi-Yadkori, Nevena Lazić, Csaba Szepesvári

ICLR 2022 Interacting Contour Stochastic Gradient Langevin Dynamics Wei Deng, Siqi Liang, Botao Hao, Guang Lin, Faming Liang

NeurIPS 2022 Regret Bounds for Information-Directed Reinforcement Learning Botao Hao, Tor Lattimore

NeurIPS 2022 The Neural Testbed: Evaluating Joint Predictions Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Dieterich Lawson, Botao Hao, Brendan O'Donoghue, Benjamin Van Roy

AISTATS 2021 Adaptive Approximate Policy Iteration Botao Hao, Nevena Lazic, Yasin Abbasi-Yadkori, Pooria Joulani, Csaba Szepesvari

AISTATS 2021 Online Sparse Reinforcement Learning Botao Hao, Tor Lattimore, Csaba Szepesvari, Mengdi Wang

NeurIPS 2021 Bandit Phase Retrieval Tor Lattimore, Botao Hao

ICML 2021 Bootstrapping Fitted Q-Evaluation for Off-Policy Inference Botao Hao, Xiang Ji, Yaqi Duan, Hao Lu, Csaba Szepesvari, Mengdi Wang

NeurIPS 2021 Information Directed Sampling for Sparse Linear Bandits Botao Hao, Tor Lattimore, Wei Deng

ICML 2021 Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient Botao Hao, Yaqi Duan, Tor Lattimore, Csaba Szepesvari, Mengdi Wang

JMLR 2021 Sparse Tensor Additive Regression Botao Hao, Boxiang Wang, Pengyuan Wang, Jingfei Zhang, Jian Yang, Will Wei Sun

AISTATS 2020 Adaptive Exploration in Linear Contextual Bandit Botao Hao, Tor Lattimore, Csaba Szepesvari

NeurIPS 2020 High-Dimensional Sparse Linear Bandits Botao Hao, Tor Lattimore, Mengdi Wang

AISTATS 2020 Sparse and Low-Rank Tensor Estimation via Cubic Sketchings Botao Hao, Anru R. Zhang, Guang Cheng

NeurIPS 2019 Bootstrapping Upper Confidence Bound Botao Hao, Yasin Abbasi Yadkori, Zheng Wen, Guang Cheng

JMLR 2019 Nonparametric Bayesian Aggregation for Massive Data Zuofeng Shang, Botao Hao, Guang Cheng