| SAAC: Safe Reinforcement Learning as an Adversarial Game of Actor-Critics | Apr 20, 2022 | continuous-controlContinuous Control | —Unverified | 0 |
| Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models | Apr 18, 2022 | Decision Makingreinforcement-learning | —Unverified | 0 |
| Safe Reinforcement Learning via Shielding under Partial Observability | Apr 2, 2022 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Safe Exploration for Efficient Policy Evaluation and Comparison | Feb 26, 2022 | Safe Exploration | —Unverified | 0 |
| CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning | Feb 15, 2022 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 |
| Model-Based Offline Meta-Reinforcement Learning with Regularization | Feb 7, 2022 | Meta Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints | Jan 28, 2022 | Reinforcement Learning (RL)Safe Exploration | —Unverified | 0 |
| GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical Systems | Jan 24, 2022 | global-optimizationSafe Exploration | CodeCode Available | 0 |
| MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance | Dec 7, 2021 | continuous-controlContinuous Control | —Unverified | 0 |
| DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning | Dec 1, 2021 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 |
| Safe Policy Optimization with Local Generalized Linear Function Approximations | Nov 9, 2021 | Reinforcement Learning (RL)Safe Exploration | CodeCode Available | 0 |
| Infinite Time Horizon Safety of Bayesian Neural Networks | Nov 4, 2021 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 |
| DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention | Oct 27, 2021 | OpenAI Gymreinforcement-learning | —Unverified | 0 |
| Dual-Arm Adversarial Robot Learning | Oct 15, 2021 | Safe Exploration | —Unverified | 0 |
| Safe Exploration in Linear Equality Constraint | Sep 29, 2021 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Safety-Critical Learning of Robot Control with Temporal Logic Specifications | Sep 7, 2021 | Gaussian ProcessesReinforcement Learning (RL) | —Unverified | 0 |
| Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics | Jul 21, 2021 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Safe Exploration by Solving Early Terminated MDP | Jul 9, 2021 | Reinforcement Learning (RL)Safe Exploration | —Unverified | 0 |
| Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs | Jun 4, 2021 | Safe Exploration | —Unverified | 0 |
| Safe Exploration in Model-based Reinforcement Learning using Control Barrier Functions | Apr 16, 2021 | Model-based Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Safe Continuous Control with Constrained Model-Based Policy Optimization | Apr 14, 2021 | continuous-controlContinuous Control | CodeCode Available | 0 |
| Towards Safe Continuing Task Reinforcement Learning | Feb 24, 2021 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Safe model-based design of experiments using Gaussian processes | Nov 19, 2020 | Experimental DesignGaussian Processes | —Unverified | 0 |
| Conservative Safety Critics for Exploration | Oct 27, 2020 | Reinforcement Learning (RL)Safe Exploration | —Unverified | 0 |
| Data-efficient visuomotor policy training using reinforcement learning and generative models | Jul 26, 2020 | Decision MakingDisentanglement | —Unverified | 0 |
