Co-occurring keywords · papers mentioning both
Papers
Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis
NeurIPS 2020
Finite-Time Analysis for Double Q-learning
NeurIPS 2020
Finite-Time Analysis of Asynchronous Stochastic Approximation and Q-Learning
COLT 2020
Finite-Time Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation
AISTATS 2020
Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise
COLT 2020
Periodic Q-Learning
L4DC 2020
Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation on Multi-Agent Reinforcement Learning
ICML 2019
Finite-Time Error Bounds For Linear Stochastic Approximation andTD Learning
COLT 2019
On Asymptotic and Finite-Time Optimality of Bayesian Predictors
JMLR 2019
A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation
COLT 2018
Black-box optimization of noisy functions with unknown smoothness
NeurIPS 2015
Non-Asymptotic Analysis of a New Bandit Algorithm for Semi-Bounded Rewards
JMLR 2015
A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences
COLT 2011
Finite Time Analysis of Stratified Sampling for Monte Carlo
NeurIPS 2011