{"total":59,"rows":[{"id":"2406.18518","title":"APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets","created":"2024-06-26","cited_by_count":198,"area":"agents"},{"id":"2401.10700","title":"Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model","created":"2024-01-19","cited_by_count":64,"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":"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":"2502.05932","title":"Skill Expansion and Composition in Parameter Space","created":"2025-02-09","cited_by_count":14,"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":"2402.17217","title":"Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning","created":"2024-02-27","cited_by_count":10,"area":"offlinerl"},{"id":"2407.14653","title":"OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning","created":"2024-07-19","cited_by_count":10,"area":"offlinerl"},{"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":"2307.07091","title":"Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning","created":"2023-07-13","cited_by_count":6,"area":"offlinerl"},{"id":"2601.19612","title":"Safe Exploration via Policy Priors","created":"2026-01-27","cited_by_count":6,"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":"2505.00908","title":"Learning Conservative Neural Control Barrier Functions from Offline Data","created":"2025-05-01","cited_by_count":5,"area":"offlinerl"},{"id":"2512.10822","title":"V-OCBF: Learning Safety Filters from Offline Data via Value-Guided Offline Control Barrier Functions","created":"2025-12-11","cited_by_count":5,"area":"offlinerl"},{"id":"2401.00629","title":"Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning","created":"2024-01-01","cited_by_count":4,"area":"offlinerl"},{"id":"2402.00355","title":"Adaptive Primal-Dual Method for Safe Reinforcement Learning","created":"2024-02-01","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":"2509.16950","title":"Temporal Logic-Based Multi-Vehicle Backdoor Attacks against Offline RL Agents in End-to-end Autonomous Driving","created":"2025-09-21","cited_by_count":4,"area":"safety"},{"id":"2603.15136","title":"Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies","created":"2026-03-16","cited_by_count":4,"area":"offlinerl"},{"id":"2405.11718","title":"Feasibility Consistent Representation Learning for Safe Reinforcement Learning","created":"2024-05-20","cited_by_count":3,"area":"deeprl"},{"id":"2412.04426","title":"Towards Fast Safe Online Reinforcement Learning via Policy Finetuning","created":"2024-12-05","cited_by_count":3,"area":null},{"id":"2412.08880","title":"FAWAC: Feasibility Informed Advantage Weighted Regression for Persistent Safety in Offline Reinforcement Learning","created":"2024-12-12","cited_by_count":3,"area":"offlinerl"},{"id":"2502.02205","title":"From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control","created":"2025-02-04","cited_by_count":3,"area":"diffusion"},{"id":"2512.08280","title":"Model-Based Diffusion Sampling for Predictive Control in Offline Decision Making","created":"2025-12-09","cited_by_count":3,"area":"diffusion"},{"id":"2503.03056","title":"A2Perf: Real-World Autonomous Agents Benchmark","created":"2025-03-04","cited_by_count":2,"area":"offlinerl"},{"id":"2505.21852","title":"A Provable Approach for End-to-End Safe Reinforcement Learning","created":"2025-05-28","cited_by_count":2,"area":"deeprl"},{"id":"2602.08054","title":"Epigraph-Guided Flow Matching for Safe and Performant Offline Reinforcement Learning","created":"2026-02-08","cited_by_count":2,"area":"diffusion"},{"id":"2603.08399","title":"A Recipe for Stable Offline Multi-agent Reinforcement Learning","created":"2026-03-09","cited_by_count":2,"area":"offlinerl"},{"id":"2405.14629","title":"Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences","created":"2024-05-23","cited_by_count":1,"area":"deeprl"},{"id":"2407.00741","title":"Diffusion Models for Offline Multi-agent Reinforcement Learning with Safety Constraints","created":"2024-06-30","cited_by_count":1,"area":"diffusion"},{"id":"2407.13006","title":"Sparsity-based Safety Conservatism for Constrained Offline Reinforcement Learning","created":"2024-07-17","cited_by_count":1,"area":null},{"id":"2408.12805","title":"A Safe Self-evolution Algorithm for Autonomous Driving Based on Data-Driven Risk Quantification Model","created":"2024-08-23","cited_by_count":1,"area":null},{"id":"2411.15643","title":"Safe PDE Boundary Control with Neural Operators","created":"2024-11-23","cited_by_count":1,"area":null},{"id":"2505.17506","title":"Offline Constrained Reinforcement Learning under Partial Data Coverage","created":"2025-05-23","cited_by_count":1,"area":null},{"id":"2506.08644","title":"Semi-gradient DICE for Offline Constrained Reinforcement Learning","created":"2025-06-10","cited_by_count":1,"area":null},{"id":"2509.25727","title":"Boundary-to-Region Supervision for Offline Safe Reinforcement Learning","created":"2025-09-30","cited_by_count":1,"area":"offlinerl"},{"id":"2510.22027","title":"Online Optimization for Offline Safe Reinforcement Learning","created":"2025-10-24","cited_by_count":1,"area":"offlinerl"},{"id":"2408.12190","title":"A Safety-Oriented Self-Learning Algorithm for Autonomous Driving: Evolution Starting from a Basic Model","created":"2024-08-22","cited_by_count":0,"area":"driving"},{"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":"2505.01619","title":"Skill-based Safe Reinforcement Learning with Risk Planning","created":"2025-05-02","cited_by_count":0,"area":"deeprl"},{"id":"2505.08179","title":"Feasibility-Aware Pessimistic Estimation: Toward Long-Horizon Safety in Offline RL","created":"2025-05-13","cited_by_count":0,"area":"offlinerl"},{"id":"2505.16754","title":"PyTupli: A Scalable Infrastructure for Collaborative Offline Reinforcement Learning Projects","created":"2025-05-22","cited_by_count":0,"area":"offlinerl"},{"id":"2505.19337","title":"Prompting Decision Transformers for Zero-Shot Reach-Avoid Policies","created":"2025-05-25","cited_by_count":0,"area":"offlinerl"},{"id":"2602.05323","title":"GAS: Enhancing Reward-Cost Balance of Generative Model-assisted Offline Safe RL","created":"2026-02-05","cited_by_count":0,"area":"offlinerl"},{"id":"2602.08584","title":"Conditional Sequence Modeling for Safe Reinforcement Learning","created":"2026-02-09","cited_by_count":0,"area":null},{"id":"2602.17312","title":"LexiSafe: Offline Safe Reinforcement Learning with Lexicographic Safety-Reward Hierarchy","created":"2026-02-19","cited_by_count":0,"area":"offlinerl"},{"id":"2604.26516","title":"Lyapunov-Guided Self-Alignment: Test-Time Adaptation for Offline Safe Reinforcement Learning","created":"2026-04-29","cited_by_count":0,"area":"offlinerl"},{"id":"2605.01356","title":"Model-Based Proactive Cost Generation for Learning Safe Policies Offline with Limited Violation Data","created":"2026-05-02","cited_by_count":0,"area":null},{"id":"2605.02777","title":"Decoupled Guidance Diffusion for Adaptive Offline Safe Reinforcement Learning","created":"2026-05-04","cited_by_count":0,"area":"offlinerl"},{"id":"2605.08512","title":"MoMo: Conditioned Contrastive Representation Learning for Preference-Modulated Planning","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2606.07550","title":"Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark","created":"2026-05-19","cited_by_count":0,"area":"offlinerl"},{"id":"2606.09559","title":"Safe-RULE: Safe Reinforcement UnLEarning","created":"2026-06-08","cited_by_count":0,"area":"safety"},{"id":"2607.03903","title":"CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning","created":"2026-07-04","cited_by_count":0,"area":"diffusion"},{"id":"2608.12306","title":"Redistribution-based Cost Inference Improves Sparse Safe Offline RL","created":"2026-08-12","cited_by_count":0,"area":"offlinerl"},{"id":"2609.12014","title":"Certified Safety Curation: Distribution-Free Guarantees for Safe Offline Reinforcement Learning","created":"2026-09-10","cited_by_count":0,"area":"offlinerl"},{"id":"2609.34426","title":"Q-learning Penalized Transformer for Safe Offline Reinforcement Learning","created":"2026-09-28","cited_by_count":0,"area":"offlinerl"},{"id":"2609.35880","title":"From Static Policies to Adaptive Priors in Offline Reinforcement Learning","created":"2026-09-26","cited_by_count":0,"area":"offlinerl"}],"next_cursor":null}