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cs.LG2023
Adversary-Aware Partial label learning with Label distillation
Cheng Chen, Yueming Lyu, Ivor W. Tsang
To ensure that the data collected from human subjects is entrusted with a secret, rival labels are introduced to conceal the information provided by the participants on purpose. Th…
cs.LG2023
Policy Dispersion in Non-Markovian Environment
Bohao Qu, Xiaofeng Cao, Jielong Yang +4
Markov Decision Process (MDP) presents a mathematical framework to formulate the learning processes of agents in reinforcement learning. MDP is limited by the Markovian assumption…