safe reinforcement learning

Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage NeurIPS 2024 SafeDreamer: Safe Reinforcement Learning with World Models ICLR 2024 Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis AAAI 2024 Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model ICLR 2024 Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation ICML 2024 Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration AAAI 2024 Safe RLHF: Safe Reinforcement Learning from Human Feedback ICLR 2024 Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems AISTATS 2024 Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning NeurIPS 2024 Simplifying Constraint Inference with Inverse Reinforcement Learning NeurIPS 2024 Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint) AAAI 2024 State-wise safe reinforcement learning with pixel observations L4DC 2024 Verified Safe Reinforcement Learning for Neural Network Dynamic Models NeurIPS 2024 A CMDP-within-online framework for Meta-Safe Reinforcement Learning ICLR 2023 AdapSafe: Adaptive and Safe-Certified Deep Reinforcement Learning-Based Frequency Control for Carbon-Neutral Power Systems AAAI 2023 Adversarial Behavior Exclusion for Safe Reinforcement Learning IJCAI 2023 A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints ICML 2023 Augmented Proximal Policy Optimization for Safe Reinforcement Learning AAAI 2023 Constrained Decision Transformer for Offline Safe Reinforcement Learning ICML 2023 Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning NeurIPS 2023 Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments ICML 2023 Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks AAAI 2023 Iterative Reachability Estimation for Safe Reinforcement Learning NeurIPS 2023 Multi-Agent First Order Constrained Optimization in Policy Space NeurIPS 2023 On Adaptivity and Safety in Sequential Decision Making IJCAI 2023