distributional reinforcement learning

A Risk-Sensitive Approach to Policy Optimization AAAI 2023 A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning JMLR 2023 Beyond Average Return in Markov Decision Processes NeurIPS 2023 Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning NeurIPS 2023 Distributional Multi-Objective Decision Making IJCAI 2023 Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion NeurIPS 2023 Policy Evaluation in Distributional LQR L4DC 2023 Quantile Credit Assignment ICML 2023 RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization NeurIPS 2023 The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning NeurIPS 2023 The Statistical Benefits of Quantile Temporal-Difference Learning for Value Estimation ICML 2023 Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints NeurIPS 2023 Variance Control for Distributional Reinforcement Learning ICML 2023 Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control AAAI 2023 A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement Learning AISTATS 2022 A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs AAAI 2022 Conjugated Discrete Distributions for Distributional Reinforcement Learning AAAI 2022 Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning ICML 2022 Distributional Reinforcement Learning for Risk-Sensitive Policies NeurIPS 2022 Distributional Reinforcement Learning with Monotonic Splines ICLR 2022 QuaDUE-CCM: Interpretable Distributional Reinforcement Learning using Uncertain Contraction Metrics for Precise Quadrotor Trajectory Tracking CoRL 2022 Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability NeurIPS 2022 ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value Factorization NeurIPS 2022 Sample-based Distributional Policy Gradient L4DC 2022 SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning UAI 2022