Co-occurring keywords · papers mentioning both
Papers
Sharp analysis of linear ensemble sampling
COLT 2026
Weighted Sequential Bayesian Inference for Non-Stationary Linear Contextual Bandits
UAI 2026
On Preference-based Stochastic Linear Contextual Bandits with Knapsacks
AISTATS 2025
Improved Regret of Linear Ensemble Sampling
NeurIPS 2024
Prior-dependent analysis of posterior sampling reinforcement learning with function approximation
AISTATS 2024
Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation
NeurIPS 2024
Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning
NeurIPS 2024
HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning
ICLR 2022
Near-Optimal Randomized Exploration for Tabular Markov Decision Processes
NeurIPS 2022
Policy Optimization as Online Learning with Mediator Feedback
AAAI 2021
Randomized Exploration for Non-Stationary Stochastic Linear Bandits
UAI 2020
Randomized Exploration in Generalized Linear Bandits
AISTATS 2020