11 citations · 64 across the 40 of their papers we have counts for
4 papers · 1 filter
Deterministic Sequencing of Exploration and Exploitation for Reinforcement Learning
Piyush Gupta, Vaibhav Srivastava
We propose Deterministic Sequencing of Exploration and Exploitation (DSEE) algorithm with interleaving exploration and exploitation epochs for model-based RL problems that aim to s…
Nonstationary Stochastic Multiarmed Bandits: UCB Policies and Minimax Regret
Lai Wei, Vaibhav Srivastava
We study the nonstationary stochastic Multi-Armed Bandit (MAB) problem in which the distribution of rewards associated with each arm are assumed to be time-varying and the total va…
Satisficing in multi-armed bandit problems
Paul Reverdy, Vaibhav Srivastava, Naomi Ehrich Leonard
Satisficing is a relaxation of maximizing and allows for less risky decision making in the face of uncertainty. We propose two sets of satisficing objectives for the multi-armed ba…
Modeling Human Decision-making in Generalized Gaussian Multi-armed Bandits
Paul Reverdy, Vaibhav Srivastava, Naomi E. Leonard
We present a formal model of human decision-making in explore-exploit tasks using the context of multi-armed bandit problems, where the decision-maker must choose among multiple op…