| Feasible Policy Iteration for Safe Reinforcement Learning | Apr 18, 2023 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Meta SAC-Lag: Towards Deployable Safe Reinforcement Learning via MetaGradient-based Hyperparameter Tuning | Aug 15, 2024 | Safe ExplorationSafe Reinforcement Learning | —Unverified | 0 |
| CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving | Jun 13, 2024 | Autonomous DrivingAutonomous Vehicles | —Unverified | 0 |
| CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee | Nov 11, 2020 | reinforcement-learningReinforcement Learning (RL) | —Unverified | 0 |
| Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles | Dec 18, 2021 | Collision Avoidancecontinuous-control | —Unverified | 0 |
| Modeling Risk in Reinforcement Learning: A Literature Mapping | Dec 8, 2023 | Managementreinforcement-learning | —Unverified | 0 |
| Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies | May 22, 2025 | Offline RLQ-Learning | —Unverified | 0 |
| Feasibility-Aware Pessimistic Estimation: Toward Long-Horizon Safety in Offline RL | May 13, 2025 | Offline RLSafe Reinforcement Learning | —Unverified | 0 |
| Case Study: Verifying the Safety of an Autonomous Racing Car with a Neural Network Controller | Oct 24, 2019 | Autonomous Racingreinforcement-learning | —Unverified | 0 |
| A Primal Approach to Constrained Policy Optimization: Global Optimality and Finite-Time Analysis | Sep 28, 2020 | Safe Reinforcement Learning | —Unverified | 0 |
