10 citations · 14 across the 4 of their papers we have counts for
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cs.LG2023★ 1 cited
No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions
Tiancheng Jin, Junyan Liu, Chloé Rouyer +3
Existing online learning algorithms for adversarial Markov Decision Processes achieve regret after rounds of interactions even if the loss functions are chosen…
cs.LG2022
Approximation Capabilities of Neural Networks using Morphological Perceptrons and Generalizations
William Chang, Hassan Hamad, Keith M. Chugg
Standard artificial neural networks (ANNs) use sum-product or multiply-accumulate node operations with a memoryless nonlinear activation. These neural networks are known to have un…
cs.LG2021★ 3 cited
Online Learning for Cooperative Multi-Player Multi-Armed Bandits
William Chang, Mehdi Jafarnia-Jahromi, Rahul Jain
We introduce a framework for decentralized online learning for multi-armed bandits (MAB) with multiple cooperative players. The reward obtained by the players in each round depends…