{"total":103,"rows":[{"id":"2402.15776","title":"Truly No-Regret Learning in Constrained MDPs","created":"2024-02-24","cited_by_count":23,"area":"deeprl"},{"id":"2403.18765","title":"CaT: Constraints as Terminations for Legged Locomotion Reinforcement Learning","created":"2024-03-27","cited_by_count":23,"area":"deeprl"},{"id":"2403.06323","title":"A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents","created":"2024-03-10","cited_by_count":16,"area":"deeprl"},{"id":"2407.09645","title":"Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey","created":"2024-07-12","cited_by_count":16,"area":"deeprl"},{"id":"2403.14508","title":"Constrained Reinforcement Learning with Smoothed Log Barrier Function","created":"2024-03-21","cited_by_count":15,"area":"deeprl"},{"id":"2401.14758","title":"Off-Policy Primal-Dual Safe Reinforcement Learning","created":"2024-01-26","cited_by_count":14,"area":"deeprl"},{"id":"2405.16601","title":"A CMDP-within-online framework for Meta-Safe Reinforcement Learning","created":"2024-05-26","cited_by_count":12,"area":"deeprl"},{"id":"2407.00304","title":"A Review of Safe Reinforcement Learning Methods for Modern Power Systems","created":"2024-06-29","cited_by_count":11,"area":"deeprl"},{"id":"2401.14811","title":"On the Limitations of Markovian Rewards to Express Multi-Objective, Risk-Sensitive, and Modal Tasks","created":"2024-01-26","cited_by_count":9,"area":"deeprl"},{"id":"2403.11062","title":"A Simple Mixture Policy Parameterization for Improving Sample Efficiency of CVaR Optimization","created":"2024-03-17","cited_by_count":7,"area":"deeprl"},{"id":"2410.24128","title":"Q-learning for Quantile MDPs: A Decomposition, Performance, and Convergence Analysis","created":"2024-10-31","cited_by_count":6,"area":"deeprl"},{"id":"2504.20887","title":"Return Capping: Sample-Efficient CVaR Policy Gradient Optimisation","created":"2025-04-29","cited_by_count":6,"area":"deeprl"},{"id":"2505.21841","title":"An Optimistic Algorithm for online CMDPS with Anytime Adversarial Constraints","created":"2025-05-28","cited_by_count":6,"area":"deeprl"},{"id":"2508.03768","title":"ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning","created":"2025-08-05","cited_by_count":6,"area":"deeprl"},{"id":"2403.16855","title":"Semantic-Aware Remote Estimation of Multiple Markov Sources Under Constraints","created":"2024-03-25","cited_by_count":5,"area":"deeprl"},{"id":"2405.18698","title":"Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees","created":"2024-05-29","cited_by_count":5,"area":"deeprl"},{"id":"2407.15537","title":"Exterior Penalty Policy Optimization with Penalty Metric Network under Constraints","created":"2024-07-22","cited_by_count":5,"area":"deeprl"},{"id":"2409.09958","title":"An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning","created":"2024-09-16","cited_by_count":5,"area":"deeprl"},{"id":"2506.00286","title":"Recursive Entropic Risk Optimization in Discounted MDPs: Sample Complexity Bounds with a Generative Model","created":"2025-05-30","cited_by_count":5,"area":"deeprl"},{"id":"2401.03786","title":"Long-term Safe Reinforcement Learning with Binary Feedback","created":"2024-01-08","cited_by_count":4,"area":"deeprl"},{"id":"2402.00355","title":"Adaptive Primal-Dual Method for Safe Reinforcement Learning","created":"2024-02-01","cited_by_count":4,"area":"deeprl"},{"id":"2403.18539","title":"Safe and Robust Reinforcement Learning: Principles and Practice","created":"2024-03-27","cited_by_count":4,"area":"deeprl"},{"id":"2406.11774","title":"Optimal Transport-Assisted Risk-Sensitive Q-Learning","created":"2024-06-17","cited_by_count":4,"area":"deeprl"},{"id":"2412.14002","title":"Operator Splitting for Convex Constrained Markov Decision Processes","created":"2024-12-18","cited_by_count":4,"area":"deeprl"},{"id":"2502.20341","title":"Safety Representations for Safer Policy Learning","created":"2025-02-27","cited_by_count":4,"area":"deeprl"},{"id":"2508.17448","title":"Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning without Strong Duality","created":"2025-08-24","cited_by_count":4,"area":"deeprl"},{"id":"2401.12849","title":"Learning safety critics via a non-contractive binary bellman operator","created":"2024-01-23","cited_by_count":3,"area":"deeprl"},{"id":"2405.11718","title":"Feasibility Consistent Representation Learning for Safe Reinforcement Learning","created":"2024-05-20","cited_by_count":3,"area":"deeprl"},{"id":"2407.00681","title":"Safe Reinforcement Learning for Power System Control: A Review","created":"2024-06-30","cited_by_count":3,"area":"deeprl"},{"id":"2412.11138","title":"Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation","created":"2024-12-15","cited_by_count":3,"area":"deeprl"},{"id":"2510.18082","title":"Provably Optimal Reinforcement Learning under Safety Filtering","created":"2025-10-20","cited_by_count":3,"area":"deeprl"},{"id":"2601.12008","title":"Extreme Value Policy Optimization for Safe Reinforcement Learning","created":"2026-01-17","cited_by_count":3,"area":"deeprl"},{"id":"2405.01718","title":"Robust Risk-Sensitive Reinforcement Learning with Conditional Value-at-Risk","created":"2024-05-02","cited_by_count":2,"area":"deeprl"},{"id":"2405.03236","title":"Federated Reinforcement Learning with Constraint Heterogeneity","created":"2024-05-06","cited_by_count":2,"area":"deeprl"},{"id":"2405.11669","title":"Do No Harm: A Counterfactual Approach to Safe Reinforcement Learning","created":"2024-05-19","cited_by_count":2,"area":"deeprl"},{"id":"2406.15612","title":"Catastrophic-risk-aware reinforcement learning with extreme-value-theory-based policy gradients","created":"2024-06-21","cited_by_count":2,"area":"deeprl"},{"id":"2407.10775","title":"Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning","created":"2024-07-15","cited_by_count":2,"area":"deeprl"},{"id":"2412.13962","title":"Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves","created":"2024-12-18","cited_by_count":2,"area":"deeprl"},{"id":"2503.17629","title":"Planning and Learning in Average Risk-aware MDPs","created":"2025-03-22","cited_by_count":2,"area":"deeprl"},{"id":"2504.16417","title":"Anytime Safe Reinforcement Learning","created":"2025-04-23","cited_by_count":2,"area":"deeprl"},{"id":"2505.04553","title":"Risk-sensitive Reinforcement Learning Based on Convex Scoring Functions","created":"2025-05-07","cited_by_count":2,"area":"deeprl"},{"id":"2506.06954","title":"Safety-Aware Reinforcement Learning for Control via Risk-Sensitive Action-Value Iteration and Quantile Regression","created":"2025-06-08","cited_by_count":2,"area":"deeprl"},{"id":"2507.00485","title":"PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learning","created":"2025-07-01","cited_by_count":2,"area":"deeprl"},{"id":"2508.01883","title":"Proactive Constrained Policy Optimization with Preemptive Penalty","created":"2025-08-03","cited_by_count":2,"area":"deeprl"},{"id":"2510.05061","title":"Automaton Constrained Q-Learning","created":"2025-10-06","cited_by_count":2,"area":"deeprl"},{"id":"2510.20199","title":"Risk-Averse Constrained Reinforcement Learning with Optimized Certainty Equivalents","created":"2025-10-23","cited_by_count":2,"area":"deeprl"},{"id":"2510.26026","title":"Conformal Prediction Beyond the Horizon: Distribution-Free Inference for Policy Evaluation","created":"2025-10-29","cited_by_count":2,"area":"deeprl"},{"id":"2606.00270","title":"Robust Shielding for Safe Reinforcement Learning","created":"2026-05-29","cited_by_count":2,"area":"deeprl"},{"id":"2606.06096","title":"OrderGrad: Optimizing Beyond the Mean with Order-Statistic Policy Gradient Estimation","created":"2026-06-04","cited_by_count":2,"area":"deeprl"},{"id":"2402.15650","title":"Uniformly Safe RL with Objective Suppression for Multi-Constraint Safety-Critical Applications","created":"2024-02-23","cited_by_count":1,"area":"deeprl"},{"id":"2402.15893","title":"Concurrent Learning of Policy and Unknown Safety Constraints in Reinforcement Learning","created":"2024-02-24","cited_by_count":1,"area":"deeprl"},{"id":"2403.07503","title":"Constrained Optimal Fuel Consumption of HEV: A Constrained Reinforcement Learning Approach","created":"2024-03-12","cited_by_count":1,"area":"deeprl"},{"id":"2404.10064","title":"The Feasibility Theory of Constrained Reinforcement Learning: A Tutorial Study","created":"2024-04-15","cited_by_count":1,"area":"deeprl"},{"id":"2405.14749","title":"On the Approximation and Convergence of Distributional Policy Gradient Algorithms for Risk-Sensitive Reinforcement Learning","created":"2024-05-23","cited_by_count":1,"area":"deeprl"},{"id":"2406.03734","title":"Policy Gradient Methods for the Cost-Constrained LQR: Strong Duality and Global Convergence","created":"2024-06-06","cited_by_count":1,"area":"deeprl"},{"id":"2409.19716","title":"Constrained Reinforcement Learning for Safe Heat Pump Control","created":"2024-09-29","cited_by_count":1,"area":"deeprl"},{"id":"2504.09396","title":"Adaptive Insurance Reserving with CVaR-Constrained Reinforcement Learning under Macroeconomic Regimes","created":"2025-04-13","cited_by_count":1,"area":"deeprl"},{"id":"2602.00587","title":"Safe Langevin Soft Actor Critic","created":"2026-01-31","cited_by_count":1,"area":"deeprl"},{"id":"2602.06445","title":"ECO: Energy-Constrained Optimization with Reinforcement Learning for Humanoid Walking","created":"2026-02-06","cited_by_count":1,"area":"deeprl"},{"id":"2602.10598","title":"Neuro-symbolic Action Masking for Deep Reinforcement Learning","created":"2026-02-11","cited_by_count":1,"area":"deeprl"},{"id":"2602.13040","title":"TCRL: Temporal-Coupled Adversarial Training for Robust Constrained Reinforcement Learning in Worst-Case Scenarios","created":"2026-02-13","cited_by_count":1,"area":"deeprl"},{"id":"2605.00654","title":"Reinforcement Learning with Markov Risk Measures and Multipattern Risk Approximation","created":"2026-05-01","cited_by_count":1,"area":"deeprl"},{"id":"2605.00667","title":"Augmented Lagrangian Multiplier Network for State-wise Safety in Reinforcement Learning","created":"2026-05-01","cited_by_count":1,"area":"deeprl"},{"id":"2606.14536","title":"Provably Safe, Yet Scalable Reinforcement Learning","created":"2026-06-12","cited_by_count":1,"area":"deeprl"},{"id":"2607.13175","title":"SteinGate: Tail-Sensitive Safe Reinforcement Learning via Stein Discrepancy","created":"2026-07-14","cited_by_count":1,"area":"deeprl"},{"id":"2405.02456","title":"Natural Policy Gradient and Actor Critic Methods for Constrained Multi-Task Reinforcement Learning","created":"2024-05-03","cited_by_count":0,"area":"deeprl"},{"id":"2408.10015","title":"Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs","created":"2024-08-19","cited_by_count":0,"area":"deeprl"},{"id":"2408.13881","title":"Safe Policy Exploration Improvement via Subgoals","created":"2024-08-25","cited_by_count":0,"area":"deeprl"},{"id":"2409.01245","title":"Revisiting Safe Exploration in Safe Reinforcement learning","created":"2024-09-02","cited_by_count":0,"area":"deeprl"},{"id":"2410.20786","title":"Adversarial Constrained Policy Optimization: Improving Constrained Reinforcement Learning by Adapting Budgets","created":"2024-10-28","cited_by_count":0,"area":"deeprl"},{"id":"2411.10031","title":"Enforcing Cooperative Safety for Reinforcement Learning-based Mixed-Autonomy Platoon Control","created":"2024-11-15","cited_by_count":0,"area":"deeprl"},{"id":"2502.17518","title":"Ensemble RL through Classifier Models: Enhancing Risk-Return Trade-offs in Trading Strategies","created":"2025-02-23","cited_by_count":0,"area":"deeprl"},{"id":"2503.05276","title":"Constrained Reinforcement Learning for the Dynamic Inventory Routing Problem under Stochastic Supply and Demand","created":"2025-03-07","cited_by_count":0,"area":"deeprl"},{"id":"2503.07817","title":"Group Fairness in Multi-Task Reinforcement Learning","created":"2025-03-10","cited_by_count":0,"area":"deeprl"},{"id":"2504.11412","title":"Measures of Variability for Risk-averse Policy Gradient","created":"2025-04-15","cited_by_count":0,"area":"deeprl"},{"id":"2504.12557","title":"TraCeS: Learning Per-Timestep Constraint-Violation Credit from Sparse Trajectory-Level Labels","created":"2025-04-17","cited_by_count":0,"area":"deeprl"},{"id":"2506.16753","title":"Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation","created":"2025-06-20","cited_by_count":0,"area":"deeprl"},{"id":"2509.09208","title":"Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning","created":"2025-09-11","cited_by_count":0,"area":"deeprl"},{"id":"2510.01492","title":"Off-Policy Reinforcement Learning with Anytime Safety Guarantees via Robust Safe Gradient Flow","created":"2025-10-01","cited_by_count":0,"area":"deeprl"},{"id":"2510.04555","title":"Tail-Safe Hedging: Explainable Risk-Sensitive Reinforcement Learning with a White-Box CBF--QP Safety Layer in Arbitrage-Free Markets","created":"2025-10-06","cited_by_count":0,"area":"deeprl"},{"id":"2510.08429","title":"ClauseLens: Clause-Grounded, CVaR-Constrained Reinforcement Learning for Trustworthy Reinsurance Pricing","created":"2025-10-09","cited_by_count":0,"area":"deeprl"},{"id":"2510.14338","title":"Risk-Aware Reinforcement Learning with Bandit-Based Adaptation for Quadrupedal Locomotion","created":"2025-10-16","cited_by_count":0,"area":"deeprl"},{"id":"2510.18074","title":"R2L: Reliable Reinforcement Learning: Guaranteed Return & Reliable Policies in Reinforcement Learning","created":"2025-10-20","cited_by_count":0,"area":"deeprl"},{"id":"2510.22859","title":"Guardian: Decoupling Exploration from Safety in Reinforcement Learning","created":"2025-10-26","cited_by_count":0,"area":"deeprl"},{"id":"2510.23332","title":"Quadratic Truncated Random Return in Distributional LQR: Positive Definiteness, Density, and Log-Concavity","created":"2025-10-27","cited_by_count":0,"area":"deeprl"},{"id":"2601.18142","title":"Enhance the Safety in Reinforcement Learning by ADRC Lagrangian Methods","created":"2026-01-26","cited_by_count":0,"area":"deeprl"},{"id":"2602.20729","title":"Fuz-RL: A Fuzzy-Guided Robust Framework for Safe Reinforcement Learning under Uncertainty","created":"2026-02-24","cited_by_count":0,"area":"deeprl"},{"id":"2603.09734","title":"Long-Run Conditional Value-at-Risk Reinforcement Learning","created":"2026-03-10","cited_by_count":0,"area":"deeprl"},{"id":"2603.23565","title":"Safe Reinforcement Learning with Preference-based Constraint Inference","created":"2026-03-24","cited_by_count":0,"area":"deeprl"},{"id":"2604.07428","title":"Regret-Aware Policy Optimization: Environment-Level Memory for Replay Suppression under Delayed Harm","created":"2026-04-08","cited_by_count":0,"area":"deeprl"},{"id":"2604.25379","title":"Safe-Support Q-Learning: Learning without Unsafe Exploration","created":"2026-04-28","cited_by_count":0,"area":"deeprl"},{"id":"2605.11975","title":"Stochastic Minimum-Cost Reach-Avoid Reinforcement Learning","created":"2026-05-12","cited_by_count":0,"area":"deeprl"},{"id":"2605.14174","title":"Safety-Constrained Reinforcement Learning with Post-Training Reachability Verification for Robot Navigation","created":"2026-05-13","cited_by_count":0,"area":"deeprl"},{"id":"2605.18841","title":"From Cumulative Constraints to Adaptive Runtime Safety Control for Nonstationary Reinforcement Learning","created":"2026-05-13","cited_by_count":0,"area":"deeprl"},{"id":"2606.14029","title":"Utility-Constrained Policy Optimization","created":"2026-06-12","cited_by_count":0,"area":"deeprl"},{"id":"2606.14415","title":"CSPO: Constraint-Sensitive Policy Optimization for Safe Reinforcement Learning","created":"2026-06-12","cited_by_count":0,"area":"deeprl"},{"id":"2606.27861","title":"PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control","created":"2026-06-26","cited_by_count":0,"area":"deeprl"},{"id":"2608.14642","title":"Training and Evaluating Ethical Reinforcement Learning Agents on Per-Episode Distributions","created":"2026-07-29","cited_by_count":0,"area":"deeprl"},{"id":"2608.30283","title":"BCPPO: Bachelier-Inspired Constrained Proximal Policy Optimization for Tail-Risk-Aware Safe Reinforcement Learning","created":"2026-08-31","cited_by_count":0,"area":"deeprl"},{"id":"2609.07998","title":"Mini-Batch Risk-Averse Deep Q-Learning: A Robot Navigation Case Study","created":"2026-09-07","cited_by_count":0,"area":"deeprl"}],"next_cursor":"100"}