58 citations · 169 across the 25 of their papers we have counts for
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cs.LG2022★ 1 cited
Contextual Information-Directed Sampling
Botao Hao, Tor Lattimore, Chao Qin
Information-directed sampling (IDS) has recently demonstrated its potential as a data-efficient reinforcement learning algorithm. However, it is still unclear what is the right for…
cs.LG2022★ 2 cited
Regret Bounds for Information-Directed Reinforcement Learning
Botao Hao, Tor Lattimore
Information-directed sampling (IDS) has revealed its potential as a data-efficient algorithm for reinforcement learning (RL). However, theoretical understanding of IDS for Markov D…
stat.ML2022★ 5 cited
Interacting Contour Stochastic Gradient Langevin Dynamics
Wei Deng, Siqi Liang, Botao Hao +2
We propose an interacting contour stochastic gradient Langevin dynamics (ICSGLD) sampler, an embarrassingly parallel multiple-chain contour stochastic gradient Langevin dynamics (C…