return distribution

Stochastic Dominance Driven First-Order Policy Optimization for Multi-Objective Reinforcement Learning UAI 2026 Distributional Off-policy Evaluation with Bellman Residual Minimization AISTATS 2025 Distributional Reinforcement Learning with Dual Expectile-Quantile Regression UAI 2025 Optimizing Return Distributions with Distributional Dynamic Programming JMLR 2025 Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning NeurIPS 2024 Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms AAAI 2024 Distributional Bellman Operators over Mean Embeddings ICML 2024 Diverse Projection Ensembles for Distributional Reinforcement Learning ICLR 2024 Foundations of Multivariate Distributional Reinforcement Learning NeurIPS 2024 Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model NeurIPS 2024 Distributional Multi-Objective Decision Making IJCAI 2023 Distributional Offline Policy Evaluation with Predictive Error Guarantees ICML 2023 Distributional Pareto-Optimal Multi-Objective Reinforcement Learning NeurIPS 2023 Policy Evaluation in Distributional LQR L4DC 2023 The Statistical Benefits of Quantile Temporal-Difference Learning for Value Estimation ICML 2023 SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning UAI 2022 Bayesian Distributional Policy Gradients AAAI 2021 Distributional Reinforcement Learning via Moment Matching AAAI 2021 Return-Based Contrastive Representation Learning for Reinforcement Learning ICLR 2021 Universal Off-Policy Evaluation NeurIPS 2021 Fully Parameterized Quantile Function for Distributional Reinforcement Learning NeurIPS 2019 Separating value functions across time-scales ICML 2019 Statistics and Samples in Distributional Reinforcement Learning ICML 2019 A Distributional Perspective on Reinforcement Learning ICML 2017