Co-occurring keywords · papers mentioning both
Papers
Algorithms for CVaR Optimization in MDPs
NeurIPS 2014
Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods
NeurIPS 2012
Analysis and Improvement of Policy Gradient Estimation
NeurIPS 2011
Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback
AISTATS 2011
Improving Policy Gradient Estimates with Influence Information
ACML 2011
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence
JMLR 2010
Sensitivity analysis in HMMs with application to likelihood maximization
NeurIPS 2009
Estimation of Gradients and Coordinate Covariation in Classification
JMLR 2006
Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation
JMLR 2006
Learning Coordinate Covariances via Gradients
JMLR 2006
Policy Gradient in Continuous Time
JMLR 2006