| Hierarchical Framework for Interpretable and Probabilistic Model-Based Safe Reinforcement Learning | Oct 28, 2023 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| Constrained Variational Policy Optimization for Safe Reinforcement Learning | Jan 28, 2022 | reinforcement-learningReinforcement Learning | CodeCode Available | 1 | 5 |
| GUARD: A Safe Reinforcement Learning Benchmark | May 23, 2023 | Autonomous DrivingDiversity | CodeCode Available | 1 | 5 |
| Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function | Mar 2, 2021 | Autonomous DrivingCollision Avoidance | CodeCode Available | 1 | 5 |
| A Multiplicative Value Function for Safe and Efficient Reinforcement Learning | Mar 7, 2023 | Navigatereinforcement-learning | CodeCode Available | 1 | 5 |
| Stable and Safe Reinforcement Learning via a Barrier-Lyapunov Actor-Critic Approach | Apr 8, 2023 | Reinforcement Learning (RL)Safe Reinforcement Learning | CodeCode Available | 1 | 5 |
| Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning | Dec 14, 2021 | reinforcement-learningReinforcement Learning | CodeCode Available | 1 | 5 |
| Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations | Aug 4, 2021 | reinforcement-learningReinforcement Learning (RL) | CodeCode Available | 1 | 5 |
| Feasibility Consistent Representation Learning for Safe Reinforcement Learning | May 20, 2024 | reinforcement-learningReinforcement Learning | CodeCode Available | 1 | 5 |
| Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm | Oct 14, 2022 | Deep Reinforcement Learningreinforcement-learning | CodeCode Available | 1 | 5 |
