{"total":71,"rows":[{"id":"2302.07351","title":"Constrained Decision Transformer for Offline Safe Reinforcement Learning","created":"2023-02-14","cited_by_count":69,"area":"offlinerl"},{"id":"2306.09303","title":"Datasets and Benchmarks for Offline Safe Reinforcement Learning","created":"2023-06-15","cited_by_count":59,"area":"offlinerl"},{"id":"2402.02025","title":"A Survey of Constraint Formulations in Safe Reinforcement Learning","created":"2024-02-03","cited_by_count":44,"area":"deeprl"},{"id":"2205.14691","title":"On the Robustness of Safe Reinforcement Learning under Observational Perturbations","created":"2022-05-29","cited_by_count":38,"area":null},{"id":"2209.08025","title":"Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability","created":"2022-09-16","cited_by_count":36,"area":null},{"id":"2306.00603","title":"Safe Offline Reinforcement Learning with Real-Time Budget Constraints","created":"2023-06-01","cited_by_count":28,"area":"offlinerl"},{"id":"2306.12755","title":"Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning","created":"2023-06-22","cited_by_count":27,"area":"offlinerl"},{"id":"2410.09486","title":"ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning","created":"2024-10-12","cited_by_count":23,"area":"deeprl"},{"id":"2301.10923","title":"Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints","created":"2023-01-26","cited_by_count":21,"area":null},{"id":"2310.03718","title":"Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning","created":"2023-10-05","cited_by_count":18,"area":null},{"id":"2311.10747","title":"Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving","created":"2023-10-31","cited_by_count":17,"area":"driving"},{"id":"2309.00711","title":"Learning Shared Safety Constraints from Multi-task Demonstrations","created":"2023-09-01","cited_by_count":15,"area":null},{"id":"2309.09408","title":"Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration","created":"2023-09-18","cited_by_count":14,"area":"offlinerl"},{"id":"2401.14758","title":"Off-Policy Primal-Dual Safe Reinforcement Learning","created":"2024-01-26","cited_by_count":14,"area":"deeprl"},{"id":"2606.00198","title":"BAGEN: Are LLM Agents Budget-Aware?","created":"2026-05-29","cited_by_count":13,"area":"agents"},{"id":"2301.12593","title":"Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning","created":"2023-01-30","cited_by_count":12,"area":null},{"id":"2303.11191","title":"A Survey of Demonstration Learning","created":"2023-03-20","cited_by_count":12,"area":"offlinerl"},{"id":"2312.00342","title":"Efficient Off-Policy Safe Reinforcement Learning Using Trust Region Conditional Value at Risk","created":"2023-12-01","cited_by_count":11,"area":null},{"id":"2603.26569","title":"Machine Unlearning under Retain-Forget Entanglement","created":"2026-03-27","cited_by_count":11,"area":"safety"},{"id":"2309.06835","title":"Safe Reinforcement Learning with Dual Robustness","created":"2023-09-13","cited_by_count":10,"area":null},{"id":"2312.15127","title":"Gradient Shaping for Multi-Constraint Safe Reinforcement Learning","created":"2023-12-23","cited_by_count":10,"area":null},{"id":"2407.14653","title":"OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning","created":"2024-07-19","cited_by_count":10,"area":"offlinerl"},{"id":"2206.11996","title":"The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality","created":"2022-06-23","cited_by_count":9,"area":null},{"id":"2301.13375","title":"Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees","created":"2023-01-31","cited_by_count":9,"area":null},{"id":"2405.14226","title":"Variational Delayed Policy Optimization","created":"2024-05-23","cited_by_count":9,"area":"deeprl"},{"id":"2412.08794","title":"Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning","created":"2024-12-11","cited_by_count":7,"area":"offlinerl"},{"id":"2206.02675","title":"Effects of Safety State Augmentation on Safe Exploration","created":"2022-06-06","cited_by_count":6,"area":null},{"id":"2310.09574","title":"Reduced Policy Optimization for Continuous Control with Hard Constraints","created":"2023-10-14","cited_by_count":6,"area":null},{"id":"2404.15199","title":"Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems","created":"2024-04-23","cited_by_count":6,"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":"2410.14468","title":"Knowledge Transfer from Simple to Complex: A Safe and Efficient Reinforcement Learning Framework for Autonomous Driving Decision-Making","created":"2024-10-18","cited_by_count":6,"area":"driving"},{"id":"2601.19612","title":"Safe Exploration via Policy Priors","created":"2026-01-27","cited_by_count":6,"area":"deeprl"},{"id":"2402.07963","title":"SPO: Sequential Monte Carlo Policy Optimisation","created":"2024-02-12","cited_by_count":5,"area":null},{"id":"2502.07949","title":"Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning","created":"2025-02-11","cited_by_count":5,"area":"mllm"},{"id":"2602.02924","title":"How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models?","created":"2026-02-02","cited_by_count":5,"area":"diffusion"},{"id":"2502.20341","title":"Safety Representations for Safer Policy Learning","created":"2025-02-27","cited_by_count":4,"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":"2412.11138","title":"Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation","created":"2024-12-15","cited_by_count":3,"area":"deeprl"},{"id":"2507.08793","title":"Optimistic Exploration for Risk-Averse Constrained Reinforcement Learning","created":"2025-07-11","cited_by_count":3,"area":"deeprl"},{"id":"2307.07084","title":"Probabilistic Constrained Reinforcement Learning with Formal Interpretability","created":"2023-07-13","cited_by_count":2,"area":null},{"id":"2405.03236","title":"Federated Reinforcement Learning with Constraint Heterogeneity","created":"2024-05-06","cited_by_count":2,"area":"deeprl"},{"id":"2503.05035","title":"QuietPaw: Learning Quadrupedal Locomotion with Versatile Noise Preference Alignment","created":"2025-03-06","cited_by_count":2,"area":null},{"id":"2507.00485","title":"PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learning","created":"2025-07-01","cited_by_count":2,"area":"deeprl"},{"id":"2603.23889","title":"Off-Policy Safe Reinforcement Learning with Constrained Optimistic Exploration","created":"2026-03-25","cited_by_count":2,"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":"2202.11593","title":"Finding Safe Zones of policies Markov Decision Processes","created":"2022-02-23","cited_by_count":1,"area":null},{"id":"2305.14216","title":"Constrained Proximal Policy Optimization","created":"2023-05-23","cited_by_count":1,"area":null},{"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":"2411.15643","title":"Safe PDE Boundary Control with Neural Operators","created":"2024-11-23","cited_by_count":1,"area":null},{"id":"2506.01639","title":"Bidirectional Soft Actor-Critic: Leveraging Forward and Reverse KL Divergence for Efficient Reinforcement Learning","created":"2025-06-02","cited_by_count":1,"area":"deeprl"},{"id":"2602.02577","title":"Relaxed Triangle Inequality for Kullback-Leibler Divergence Between Multivariate Gaussian Distributions","created":"2026-01-31","cited_by_count":1,"area":null},{"id":"2605.21225","title":"PREFINE: Preference-Based Implicit Reward and Cost Fine-Tuning for Safety Alignment","created":"2026-05-20","cited_by_count":1,"area":"alignment"},{"id":"2310.06903","title":"Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization","created":"2023-10-10","cited_by_count":0,"area":null},{"id":"2410.20913","title":"Constrained Optimal Fuel Consumption of HEVs under Observational Noise","created":"2024-10-28","cited_by_count":0,"area":null},{"id":"2502.12391","title":"Don't Trade Off Safety: Diffusion Regularization for Constrained Offline RL","created":"2025-02-18","cited_by_count":0,"area":"offlinerl"},{"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":"2507.06780","title":"Learning safe, constrained policies via imitation learning: Connection to Probabilistic Inference and a Naive Algorithm","created":"2025-07-09","cited_by_count":0,"area":"offlinerl"},{"id":"2512.01046","title":"Shielded Controller Units for RL with Operational Constraints Applied to Remote Microgrids","created":"2025-11-30","cited_by_count":0,"area":"deeprl"},{"id":"2512.17444","title":"Assessing Long-Term Electricity Market Design for Ambitious Decarbonization Targets using Multi-Agent Reinforcement Learning","created":"2025-12-19","cited_by_count":0,"area":null},{"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":"2604.11026","title":"Optimal Stability of KL Divergence under Gaussian Perturbations","created":"2026-04-13","cited_by_count":0,"area":null},{"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":"2605.01195","title":"TAIL-Safe: Task-Agnostic Safety Monitoring for Imitation Learning Policies","created":"2026-05-02","cited_by_count":0,"area":"diffusion"},{"id":"2606.04749","title":"COP-Q: Safety-First Reinforcement Learning for Robot Control via Cholesky-Ordered Projection","created":"2026-06-03","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":"2609.32952","title":"Constrained Flow Policy Updates: A Generalized Schr\\\"odinger Bridge View","created":"2026-09-26","cited_by_count":0,"area":"deeprl"},{"id":"2609.33337","title":"Safe Score Matching: Diffusion Policies with Hamilton-Jacobi Reachability for Online Safe Reinforcement Learning","created":"2026-09-27","cited_by_count":0,"area":"diffusion"},{"id":"2609.34426","title":"Q-learning Penalized Transformer for Safe Offline Reinforcement Learning","created":"2026-09-28","cited_by_count":0,"area":"offlinerl"},{"id":"2610.05969","title":"Reachability-Aware Diffusion Policy Optimization","created":"2026-10-05","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}