bellman residual

Neural Network Approximation for Pessimistic Offline Reinforcement Learning AAAI 2024 Krylov–Bellman boosting: Super-linear policy evaluation in general state spaces AISTATS 2023 Bellman Residual Orthogonalization for Offline Reinforcement Learning NeurIPS 2022 Fast Rates for the Regret of Offline Reinforcement Learning COLT 2021 Variance-Aware Off-Policy Evaluation with Linear Function Approximation NeurIPS 2021 CAQL: Continuous Action Q-Learning ICLR 2020 Is the Bellman residual a bad proxy? NeurIPS 2017 Learning Nash Equilibrium for General-Sum Markov Games from Batch Data AISTATS 2017 Difference of Convex Functions Programming for Reinforcement Learning NeurIPS 2014 Policy Evaluation with Temporal Differences: A Survey and Comparison JMLR 2014 Sparse Reinforcement Learning via Convex Optimization ICML 2014 Robust Approximate Bilinear Programming for Value Function Approximation JMLR 2011 Error Propagation for Approximate Policy and Value Iteration NeurIPS 2010 Finite-sample Analysis of Bellman Residual Minimization ACML 2010 Robust Value Function Approximation Using Bilinear Programming NeurIPS 2009 Finite-Time Bounds for Fitted Value Iteration JMLR 2008 Regularized Policy Iteration NeurIPS 2008