bellman equation

Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes AAAI 2021 State-Aware Value Function Approximation with Attention Mechanism for Restless Multi-armed Bandits IJCAI 2021 Successor Feature Sets: Generalizing Successor Representations Across Policies AAAI 2021 Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning ICML 2021 A Nonparametric Off-Policy Policy Gradient AISTATS 2020 Conditional Importance Sampling for Off-Policy Learning AISTATS 2020 A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation NeurIPS 2019 A Kernel Loss for Solving the Bellman Equation NeurIPS 2019 Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN ICML 2019 Value Function in Frequency Domain and the Characteristic Value Iteration Algorithm NeurIPS 2019 Learning over Subgoals for Efficient Navigation of Structured, Unknown Environments CoRL 2018 On Generalized Bellman Equations and Temporal-Difference Learning JMLR 2018 SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation ICML 2018 Smoothed Action Value Functions for Learning Gaussian Policies ICML 2018 Temporal Regularization for Markov Decision Process NeurIPS 2018 A Distributional Perspective on Reinforcement Learning ICML 2017 Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning NeurIPS 2017 Compositionality of optimal control laws NeurIPS 2009 Solving Stochastic Games NeurIPS 2009 Linearly-solvable Markov decision problems NeurIPS 2006