Combinatorial Multi-Armed Bandit with General Reward Functions [PDF]
, 2016 Wei Chen +5 more
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A quality assuring, cost optimal multi-armed bandit mechanism for expertsourcing
, 2017 Shweta Jain +4 more
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Adapting to Delays and Data in Adversarial Multi-Armed Bandits [PDF]
, 2020 András György, Pooria Joulani
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Collaborative Learning with Limited Interaction: Tight Bounds for Distributed Exploration in Multi-Armed Bandits [PDF]
, 2019 Tao Chao, Qin Zhang, Yuan Zhou
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Towards Soft Fairness in Restless Multi-Armed Bandits [PDF]
, 2022 De-Xun Li, Pradeep Varakantham
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Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits [PDF]
, 2019 Xi Liu +3 more
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Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts [PDF]
, 2022 Giulia Romano +4 more
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Learning Variable Ordering Heuristics with Multi-Armed Bandits and Restarts
, 2020 Hugues Wattez +4 more
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Harnessing nonlinear optoelectronic oscillator for speeding up reinforcement learning
PhotoniXReinforcement learning is an indispensable branch of artificial intelligence (AI), referring to the technology and methods of maximizing the rewards from an uncertain environment.
Ziwei Xu +7 more
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Risk-Averse Biased Human Policies in Assistive Multi-Armed Bandit\n Settings [PDF]
, 2021 Michael Köller +2 more
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