safe exploration

ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning ICLR 2025 A Dynamic Safety Shield for Safe and Efficient Reinforcement Learning of Navigation Tasks L4DC 2025 A Safe Exploration Approach to Constrained Markov Decision Processes AISTATS 2025 Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization L4DC 2025 Safe Cooperative Multi-Agent Reinforcement Learning with Function Approximation L4DC 2025 Safe Exploration in Reinforcement Learning: Training Backup Control Barrier Functions with Zero Training-Time Safety Violations L4DC 2025 Safe exploration in reproducing kernel Hilbert spaces AISTATS 2025 Safety Representations for Safer Policy Learning ICLR 2025 Directional Optimism for Safe Linear Bandits AISTATS 2024 Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning AISTATS 2024 Exterior Penalty Policy Optimization with Penalty Metric Network under Constraints IJCAI 2024 Learning Human-like Representations to Enable Learning Human Values NeurIPS 2024 RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes RSS 2024 Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis AAAI 2024 Safety through feedback in Constrained RL NeurIPS 2024 State-wise safe reinforcement learning with pixel observations L4DC 2024 Benefits of monotonicity in safe exploration with Gaussian processes UAI 2023 CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration AAAI 2023 Guiding Safe Exploration with Weakest Preconditions ICLR 2023 Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints ICML 2023 Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints AAAI 2023 Provably Safe Reinforcement Learning with Step-wise Violation Constraints NeurIPS 2023 Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL ICLR 2023 Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms NeurIPS 2023 Safe Reinforcement Learning via Shielding under Partial Observability AAAI 2023