{"total":14,"rows":[{"id":"2205.07536","title":"Reachability Constrained Reinforcement Learning","created":"2022-05-16","cited_by_count":59,"area":null},{"id":"2302.03122","title":"State-wise Safe Reinforcement Learning: A Survey","created":"2023-02-06","cited_by_count":55,"area":null},{"id":"2210.07553","title":"Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate","created":"2022-10-14","cited_by_count":18,"area":null},{"id":"2304.04066","title":"Stable and Safe Reinforcement Learning via a Barrier-Lyapunov Actor-Critic Approach","created":"2023-04-08","cited_by_count":13,"area":null},{"id":"2305.13681","title":"GUARD: A Safe Reinforcement Learning Benchmark","created":"2023-05-23","cited_by_count":13,"area":null},{"id":"2406.02983","title":"FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with Reasonable Adversariality","created":"2024-06-05","cited_by_count":13,"area":null},{"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":"2303.05694","title":"Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization","created":"2023-03-10","cited_by_count":7,"area":null},{"id":"2411.15036","title":"Safe Multi-Agent Reinforcement Learning with Convergence to Generalized Nash Equilibrium","created":"2024-11-22","cited_by_count":6,"area":null},{"id":"2304.08845","title":"Feasible Policy Iteration for Safe Reinforcement Learning","created":"2023-04-18","cited_by_count":4,"area":null},{"id":"2310.07207","title":"Robust Safe Reinforcement Learning under Adversarial Disturbances","created":"2023-10-11","cited_by_count":4,"area":null},{"id":"2311.06769","title":"Learning Predictive Safety Filter via Decomposition of Robust Invariant Set","created":"2023-11-12","cited_by_count":3,"area":null},{"id":"2311.03669","title":"Stable Modular Control via Contraction Theory for Reinforcement Learning","created":"2023-11-07","cited_by_count":1,"area":null}],"next_cursor":null}