{"total":36,"rows":[{"id":"2410.09486","title":"ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning","created":"2024-10-12","cited_by_count":23,"area":"deeprl"},{"id":"2407.08464","title":"TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations","created":"2024-07-11","cited_by_count":17,"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":"2406.13744","title":"SRL-VIC: A Variable Stiffness-Based Safe Reinforcement Learning for Contact-Rich Robotic Tasks","created":"2024-06-19","cited_by_count":15,"area":"deeprl"},{"id":"2406.06507","title":"Verification-Guided Shielding for Deep Reinforcement Learning","created":"2024-06-10","cited_by_count":13,"area":"deeprl"},{"id":"2402.05279","title":"Safety Filters for Black-Box Dynamical Systems by Learning Discriminating Hyperplanes","created":"2024-02-07","cited_by_count":12,"area":"deeprl"},{"id":"2404.16879","title":"Learning Control Barrier Functions and their application in Reinforcement Learning: A Survey","created":"2024-04-22","cited_by_count":8,"area":"deeprl"},{"id":"2509.18648","title":"SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer","created":"2025-09-23","cited_by_count":8,"area":"deeprl"},{"id":"2402.05284","title":"Analyzing Adversarial Inputs in Deep Reinforcement Learning","created":"2024-02-07","cited_by_count":7,"area":"deeprl"},{"id":"2405.18180","title":"Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding","created":"2024-05-28","cited_by_count":6,"area":"deeprl"},{"id":"2601.19612","title":"Safe Exploration via Policy Priors","created":"2026-01-27","cited_by_count":6,"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":"2402.04182","title":"Reinforcement Learning with Ensemble Model Predictive Safety Certification","created":"2024-02-06","cited_by_count":4,"area":"deeprl"},{"id":"2402.15197","title":"Safety Optimized Reinforcement Learning via Multi-Objective Policy Optimization","created":"2024-02-23","cited_by_count":4,"area":"deeprl"},{"id":"2403.08152","title":"Multi-Fidelity Reinforcement Learning for Time-Optimal Quadrotor Re-planning","created":"2024-03-13","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":"2401.12849","title":"Learning safety critics via a non-contractive binary bellman operator","created":"2024-01-23","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":"2410.02038","title":"Realizable Continuous-Space Shields for Safe Reinforcement Learning","created":"2024-10-02","cited_by_count":3,"area":"deeprl"},{"id":"2606.10228","title":"SHAPO: Sharpness-Aware Policy Optimization for Safe Exploration","created":"2026-06-08","cited_by_count":2,"area":"deeprl"},{"id":"2403.16391","title":"Physics-informed RL for Maximal Safety Probability Estimation","created":"2024-03-25","cited_by_count":1,"area":"deeprl"},{"id":"2405.15430","title":"Counterexample-Guided Repair of Reinforcement Learning Systems Using Safety Critics","created":"2024-05-24","cited_by_count":1,"area":"deeprl"},{"id":"2411.05784","title":"Safe Reinforcement Learning of Robot Trajectories in the Presence of Moving Obstacles","created":"2024-11-08","cited_by_count":1,"area":"deeprl"},{"id":"2411.19809","title":"Q-learning-based Model-free Safety Filter","created":"2024-11-29","cited_by_count":1,"area":"deeprl"},{"id":"2506.22423","title":"ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks","created":"2025-06-27","cited_by_count":1,"area":"deeprl"},{"id":"2409.01245","title":"Revisiting Safe Exploration in Safe Reinforcement learning","created":"2024-09-02","cited_by_count":0,"area":"deeprl"},{"id":"2410.15127","title":"Reinfier and Reintrainer: Verification and Interpretation-Driven Safe Deep Reinforcement Learning Frameworks","created":"2024-10-19","cited_by_count":0,"area":"deeprl"},{"id":"2503.07376","title":"AttentionSwarm: Reinforcement Learning with Attention Control Barier Function for Crazyflie Drones in Dynamic Environments","created":"2025-03-10","cited_by_count":0,"area":"deeprl"},{"id":"2503.10318","title":"Enhance Exploration in Safe Reinforcement Learning with Contrastive Representation Learning","created":"2025-03-13","cited_by_count":0,"area":"deeprl"},{"id":"2504.03040","title":"Safety Modulation: Enhancing Safety in Reinforcement Learning through Cost-Modulated Rewards","created":"2025-04-03","cited_by_count":0,"area":"deeprl"},{"id":"2510.15720","title":"ProSh: Probabilistic Shielding for Model-free Reinforcement Learning","created":"2025-10-17","cited_by_count":0,"area":"deeprl"},{"id":"2510.18478","title":"Safe But Not Sorry: Reducing Over-Conservatism in Safety Critics via Uncertainty-Aware Modulation","created":"2025-10-21","cited_by_count":0,"area":"deeprl"},{"id":"2604.19737","title":"Safe Continual Reinforcement Learning in Non-stationary Environments","created":"2026-04-21","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":"2607.08925","title":"SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions","created":"2026-07-09","cited_by_count":0,"area":"deeprl"},{"id":"2609.15988","title":"ResSafe: Learning Safety Filtering with Residual Reinforcement Learning for Humanoids","created":"2026-09-14","cited_by_count":0,"area":"deeprl"}],"next_cursor":null}