885 citations · 3.8k across the 104 of their papers we have counts for
3 papers · 2 filters
Model Selection for Generic Reinforcement Learning
Avishek Ghosh, Sayak Ray Chowdhury, Kannan Ramchandran
We address the problem of model selection for the finite horizon episodic Reinforcement Learning (RL) problem where the transition kernel belongs to a family of models $\math…
Model Selection for Generic Contextual Bandits
Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran
We consider the problem of model selection for the general stochastic contextual bandits under the realizability assumption. We propose a successive refinement based algorithm call…
Adaptive Clustering and Personalization in Multi-Agent Stochastic Linear Bandits
Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran
We consider the problem of minimizing regret in an agent heterogeneous stochastic linear bandits framework, where the agents (users) are similar but not all identical. We model…