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stat.ML2024
Stochastic Bandits for Egalitarian Assignment
Eugene Lim, Vincent Y. F. Tan, Harold Soh
We study EgalMAB, an egalitarian assignment problem in the context of stochastic multi-armed bandits. In EgalMAB, an agent is tasked with assigning a set of users to arms. At each…
cs.LG2024★ 1 cited
Don't Start from Scratch: Behavioral Refinement via Interpolant-based Policy Diffusion
Kaiqi Chen, Eugene Lim, Kelvin Lin +2
Imitation learning empowers artificial agents to mimic behavior by learning from demonstrations. Recently, diffusion models, which have the ability to model high-dimensional and mu…