safe reinforcement learning

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning AAAI 2025 Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning NeurIPS 2024 A Survey of Constraint Formulations in Safe Reinforcement Learning IJCAI 2024 Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation AAAI 2024 Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning CoRL 2024 Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming AAAI 2024 ConstrainedZero: Chance-Constrained POMDP Planning Using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints IJCAI 2024 Do no harm: A counterfactual approach to safe reinforcement learning L4DC 2024 Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning NeurIPS 2024 Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation NeurIPS 2024 Flipping-based Policy for Chance-Constrained Markov Decision Processes NeurIPS 2024 From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning NeurIPS 2024 Generalized constraint for probabilistic safe reinforcement learning L4DC 2024 Gradient shaping for multi-constraint safe reinforcement learning L4DC 2024 Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning AAAI 2024 Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning CoRL 2024 Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning AAAI 2024 Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning JMLR 2024 Long-Term Safe Reinforcement Learning with Binary Feedback AAAI 2024 OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning NeurIPS 2024 Off-Policy Primal-Dual Safe Reinforcement Learning ICLR 2024 OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research JMLR 2024 P2BPO: Permeable Penalty Barrier-Based Policy Optimization for Safe RL AAAI 2024 Pure-Past Action Masking AAAI 2024 Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems NeurIPS 2024