Daochen Wang — accepted AI-conference papers

2021

Quantum Exploration Algorithms for Multi-Armed Bandits

Daochen Wang, Xuchen You, Tongyang Li, Andrew M. Childs

AAAI 2021technical

Identifying the best arm of a multi-armed bandit is a central problem in bandit optimization. We study a quantum computational version of this problem with coherent oracle access to states encoding the reward probabilities of each arm as quantum amplitudes. Specifically, we provide an algorithm to f…

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2021

Quantum algorithms for reinforcement learning with a generative model

Daochen Wang, Aarthi Sundaram, Robin Kothari, Ashish Kapoor, Martin Roetteler

ICML 2021spotlight

Reinforcement learning studies how an agent should interact with an environment to maximize its cumulative reward. A standard way to study this question abstractly is to ask how many samples an agent needs from the environment to learn an optimal policy for a $\gamma$-discounted Markov decision proc…

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