{"total":33,"rows":[{"id":"2108.06266","title":"Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning","created":"2021-08-13","cited_by_count":371,"area":null},{"id":"2204.08957","title":"COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation","created":"2022-04-19","cited_by_count":71,"area":null},{"id":"2207.09944","title":"Probable Domain Generalization via Quantile Risk Minimization","created":"2022-07-20","cited_by_count":66,"area":null},{"id":"2302.03201","title":"Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR","created":"2023-02-07","cited_by_count":32,"area":null},{"id":"2311.01753","title":"RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization","created":"2023-11-03","cited_by_count":20,"area":null},{"id":"2203.13225","title":"Distributionally Robust Optimization via Ball Oracle Acceleration","created":"2022-03-24","cited_by_count":14,"area":null},{"id":"2309.14246","title":"Learning Risk-Aware Quadrupedal Locomotion using Distributional Reinforcement Learning","created":"2023-09-25","cited_by_count":14,"area":null},{"id":"2405.18917","title":"Causal Action Influence Aware Counterfactual Data Augmentation","created":"2024-05-29","cited_by_count":12,"area":null},{"id":"2206.06841","title":"Robust Reinforcement Learning with Distributional Risk-averse formulation","created":"2022-06-14","cited_by_count":10,"area":null},{"id":"2303.05848","title":"Decision-Making Under Uncertainty: Beyond Probabilities","created":"2023-03-10","cited_by_count":9,"area":null},{"id":"2111.06803","title":"Two steps to risk sensitivity","created":"2021-11-12","cited_by_count":8,"area":null},{"id":"2602.16796","title":"Efficient Tail-Aware Generative Optimization via Flow Model Fine-Tuning","created":"2026-02-18","cited_by_count":8,"area":null},{"id":"2104.01040","title":"Distributional Offline Continuous-Time Reinforcement Learning with Neural Physics-Informed PDEs (SciPhy RL for DOCTR-L)","created":"2021-04-02","cited_by_count":6,"area":null},{"id":"2203.14749","title":"Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning","created":"2022-03-28","cited_by_count":6,"area":null},{"id":"2212.14743","title":"Risk-Sensitive Policy with Distributional Reinforcement Learning","created":"2022-12-30","cited_by_count":6,"area":null},{"id":"2203.08957","title":"Risk-Averse No-Regret Learning in Online Convex Games","created":"2022-03-16","cited_by_count":5,"area":null},{"id":"2308.13011","title":"Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory","created":"2023-08-24","cited_by_count":5,"area":null},{"id":"2109.04001","title":"Deep Reinforcement Learning for Equal Risk Pricing and Hedging under Dynamic Expectile Risk Measures","created":"2021-09-09","cited_by_count":3,"area":null},{"id":"2111.01946","title":"Robust Dynamic Bus Control: A Distributional Multi-agent Reinforcement Learning Approach","created":"2021-11-02","cited_by_count":3,"area":null},{"id":"2207.13730","title":"Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control","created":"2022-07-27","cited_by_count":3,"area":null},{"id":"2208.03066","title":"Tailoring to the Tails: Risk Measures for Fine-Grained Tail Sensitivity","created":"2022-08-05","cited_by_count":2,"area":null},{"id":"2304.11104","title":"Approximate Shielding of Atari Agents for Safe Exploration","created":"2023-04-21","cited_by_count":2,"area":null},{"id":"2306.06637","title":"PACER: A Fully Push-forward-based Distributional Reinforcement Learning Algorithm","created":"2023-06-11","cited_by_count":2,"area":null},{"id":"2307.00547","title":"Is Risk-Sensitive Reinforcement Learning Properly Resolved?","created":"2023-07-02","cited_by_count":2,"area":null},{"id":"2404.02988","title":"Risk-averse Learning with Non-Stationary Distributions","created":"2024-04-03","cited_by_count":2,"area":null},{"id":"2209.15618","title":"Beyond Bayes-optimality: meta-learning what you know you don't know","created":"2022-09-30","cited_by_count":1,"area":null},{"id":"2307.11704","title":"JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning","created":"2023-07-21","cited_by_count":1,"area":null},{"id":"2402.05906","title":"Risk-Sensitive Multi-Agent Reinforcement Learning in Network Aggregative Markov Games","created":"2024-02-08","cited_by_count":1,"area":null},{"id":"2207.08040","title":"Reinforcement Learning For Survival, A Clinically Motivated Method For Critically Ill Patients","created":"2022-07-17","cited_by_count":0,"area":null},{"id":"2304.00573","title":"Risk-Sensitive and Robust Model-Based Reinforcement Learning and Planning","created":"2023-04-02","cited_by_count":0,"area":null},{"id":"2307.04927","title":"Probabilistic Counterexample Guidance for Safer Reinforcement Learning (Extended Version)","created":"2023-07-10","cited_by_count":0,"area":null},{"id":"2605.15620","title":"Pessimistic Risk-Aware Policy Learning in Contextual Bandits","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2606.11249","title":"MASK: Multi-Agent Semantic K-Scheduling for Risk-Sensitive 6G Robotics","created":"2026-06-08","cited_by_count":0,"area":null}],"next_cursor":null}