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cs.LG2022
Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes
Runlong Zhou, Ruosong Wang, Simon S. Du
We study regret minimization for reinforcement learning (RL) in Latent Markov Decision Processes (LMDPs) with context in hindsight. We design a novel model-based algorithmic framew…
cs.LG2022
Variance-Aware Sparse Linear Bandits
Yan Dai, Ruosong Wang, Simon S. Du
It is well-known that for sparse linear bandits, when ignoring the dependency on sparsity which is much smaller than the ambient dimension, the worst-case minimax regret is $\widet…