risk-sensitive reinforcement learning

Risk-Sensitive Exponential Actor Critic AAAI 2026 Tight Sample Complexity Bounds for Entropic Best Policy Identification COLT 2026 Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model AISTATS 2025 Optimizing Return Distributions with Distributional Dynamic Programming JMLR 2025 Risk-Sensitive Variational Actor-Critic: A Model-Based Approach ICLR 2025 Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds JMLR 2024 Learning Diverse Risk Preferences in Population-Based Self-Play AAAI 2024 Provably Efficient CVaR RL in Low-rank MDPs ICLR 2024 Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback ICLR 2024 Provably Efficient Partially Observable Risk-sensitive Reinforcement Learning with Hindsight Observation ICML 2024 Regret Bounds for Risk-sensitive Reinforcement Learning with Lipschitz Dynamic Risk Measures AISTATS 2024 SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies AAAI 2024 A policy gradient approach for optimization of smooth risk measures UAI 2023 A Risk-Sensitive Approach to Policy Optimization AAAI 2023 A Tighter Problem-Dependent Regret Bound for Risk-Sensitive Reinforcement Learning AISTATS 2023 Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning NeurIPS 2023 Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR ICML 2023 Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design AAAI 2023 On the Global Convergence of Risk-Averse Policy Gradient Methods with Expected Conditional Risk Measures ICML 2023 On the limitations of Markovian rewards to express multi-objective, risk-sensitive, and modal tasks UAI 2023 Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path ICLR 2023 Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents ICML 2023 RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization NeurIPS 2023 Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning ICML 2022 Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning ICML 2022