{"total":31,"rows":[{"id":"2402.02025","title":"A Survey of Constraint Formulations in Safe Reinforcement Learning","created":"2024-02-03","cited_by_count":44,"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":"2405.13863","title":"Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning","created":"2024-05-22","cited_by_count":15,"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":"2405.20860","title":"Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation","created":"2024-05-31","cited_by_count":9,"area":"deeprl"},{"id":"2405.14183","title":"Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time","created":"2024-05-23","cited_by_count":5,"area":"deeprl"},{"id":"2412.04327","title":"Action Mapping for Reinforcement Learning in Continuous Environments with Constraints","created":"2024-12-05","cited_by_count":5,"area":"deeprl"},{"id":"2405.02754","title":"Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning","created":"2024-05-04","cited_by_count":3,"area":"deeprl"},{"id":"2410.20907","title":"Combining Deep Reinforcement Learning with a Jerk-Bounded Trajectory Generator for Kinematically Constrained Motion Planning","created":"2024-10-28","cited_by_count":2,"area":"deeprl"},{"id":"2502.10431","title":"Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning","created":"2025-02-08","cited_by_count":2,"area":"deeprl"},{"id":"2510.14503","title":"Learning to Undo: Rollback-Augmented Reinforcement Learning with Reversibility Signals","created":"2025-10-16","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":"2410.06852","title":"Safe Reinforcement Learning Filter for Multicopter Collision-Free Tracking under disturbances","created":"2024-10-09","cited_by_count":1,"area":"deeprl"},{"id":"2502.07764","title":"Polynomial-Time Approximability of Constrained Reinforcement Learning","created":"2025-02-11","cited_by_count":1,"area":"deeprl"},{"id":"2604.25508","title":"Dyna-Style Safety Augmented Reinforcement Learning: Staying Safe in the Face of Uncertainty","created":"2026-04-28","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":"2607.14488","title":"Safe Execution of RL Policies Via Acceleration-Based CBF-QP Constraint Enforcement for Real-World Robotic Deployments","created":"2026-07-16","cited_by_count":1,"area":"deeprl"},{"id":"2405.16485","title":"Make Safe Decisions in Power System: Safe Reinforcement Learning Based Pre-decision Making for Voltage Stability Emergency Control","created":"2024-05-26","cited_by_count":0,"area":"deeprl"},{"id":"2406.03912","title":"GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model","created":"2024-06-06","cited_by_count":0,"area":"deeprl"},{"id":"2408.00997","title":"A Safe Exploration Strategy for Model-free Task Adaptation in Safety-constrained Grid Environments","created":"2024-08-02","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":"2410.01212","title":"Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction","created":"2024-10-02","cited_by_count":0,"area":"deeprl"},{"id":"2410.06847","title":"A Safety Modulator Actor-Critic Method in Model-Free Safe Reinforcement Learning and Application in UAV Hovering","created":"2024-10-09","cited_by_count":0,"area":"deeprl"},{"id":"2504.11907","title":"A Graph-Based Reinforcement Learning Approach with Frontier Potential Based Reward for Safe Cluttered Environment Exploration","created":"2025-04-16","cited_by_count":0,"area":"deeprl"},{"id":"2505.08382","title":"Continuous World Coverage Path Planning for Fixed-Wing UAVs using Deep Reinforcement Learning","created":"2025-05-13","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":"2511.15358","title":"Platform-Agnostic Reinforcement Learning Framework for Safe Exploration of Cluttered Environments with Graph Attention","created":"2025-11-19","cited_by_count":0,"area":"deeprl"},{"id":"2602.16543","title":"Demonstration-Guided Observation Attacks on Black-Box Safe Reinforcement Learning Controllers for Robotic Systems","created":"2026-02-18","cited_by_count":0,"area":"deeprl"},{"id":"2604.04251","title":"MC-CPO: Mastery-Conditioned Constrained Policy Optimization for Pedagogically Safe Intelligent Tutoring Systems","created":"2026-04-05","cited_by_count":0,"area":"deeprl"},{"id":"2604.16033","title":"Safe Deep Reinforcement Learning for Building Heating Control and Demand-side Flexibility","created":"2026-04-17","cited_by_count":0,"area":"deeprl"},{"id":"2609.15915","title":"Safe Meta-Reinforcement Learning via Information Space Reachability","created":"2026-09-14","cited_by_count":0,"area":"deeprl"}],"next_cursor":null}