| ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy | Feb 8, 2025 | Q-LearningSafe Exploration | CodeCode Available | 3 | 5 |
| MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning | Sep 26, 2021 | BenchmarkingDecision Making | CodeCode Available | 2 | 5 |
| State-Wise Safe Reinforcement Learning With Pixel Observations | Nov 3, 2023 | reinforcement-learningReinforcement Learning | CodeCode Available | 1 | 5 |
| Verifiably Safe Exploration for End-to-End Reinforcement Learning | Jul 2, 2020 | Deep Reinforcement Learningobject-detection | CodeCode Available | 1 | 5 |
| Transductive Active Learning with Application to Safe Bayesian Optimization | Jul 12, 2024 | Active LearningBayesian Optimization | CodeCode Available | 1 | 5 |
| Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety | May 22, 2021 | reinforcement-learningReinforcement Learning | CodeCode Available | 1 | 5 |
| Neurosymbolic Reinforcement Learning with Formally Verified Exploration | Sep 26, 2020 | reinforcement-learningReinforcement Learning | CodeCode Available | 1 | 5 |
| Safe Exploration in Continuous Action Spaces | Jan 26, 2018 | Reinforcement LearningReinforcement Learning (RL) | CodeCode Available | 1 | 5 |
| Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution | Sep 29, 2020 | General Reinforcement LearningMinecraft | CodeCode Available | 1 | 5 |
| Toward Safe and Accelerated Deep Reinforcement Learning for Next-Generation Wireless Networks | Sep 16, 2022 | Deep Reinforcement LearningManagement | CodeCode Available | 1 | 5 |
| Near-Optimal Multi-Agent Learning for Safe Coverage Control | Oct 12, 2022 | DiversityNavigate | CodeCode Available | 1 | 5 |
| Autonomous UAV Exploration of Dynamic Environments via Incremental Sampling and Probabilistic Roadmap | Oct 14, 2020 | Safe Exploration | CodeCode Available | 1 | 5 |
| SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure | May 27, 2020 | BIG-bench Machine LearningDomain Adaptation | CodeCode Available | 1 | 5 |
| Provably Safe PAC-MDP Exploration Using Analogies | Jul 7, 2020 | 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 |
| Information-Theoretic Safe Exploration with Gaussian Processes | Dec 9, 2022 | Decision MakingGaussian Processes | CodeCode Available | 0 | 5 |
| AI Safety Gridworlds | Nov 27, 2017 | Deep Reinforcement Learningreinforcement-learning | CodeCode Available | 0 | 5 |
| Confidence-Guided Human-AI Collaboration: Reinforcement Learning with Distributional Proxy Value Propagation for Autonomous Driving | Jun 4, 2025 | Autonomous DrivingImitation Learning | CodeCode Available | 0 | 5 |
| CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning | Feb 15, 2022 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 | 5 |
| Learning-based Model Predictive Control for Safe Exploration | Mar 22, 2018 | modelModel Predictive Control | CodeCode Available | 0 | 5 |
| Atlas: Automate Online Service Configuration in Network Slicing | Oct 30, 2022 | Bayesian OptimizationSafe Exploration | CodeCode Available | 0 | 5 |
| Infinite Time Horizon Safety of Bayesian Neural Networks | Nov 4, 2021 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 | 5 |
| Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning | Jun 27, 2019 | Model Predictive Controlreinforcement-learning | CodeCode Available | 0 | 5 |
| The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning | Oct 20, 2022 | Deep Reinforcement LearningOffline RL | CodeCode Available | 0 | 5 |
| Safe reinforcement learning for probabilistic reachability and safety specifications: A Lyapunov-based approach | Feb 24, 2020 | Autonomous Drivingcontinuous-control | CodeCode Available | 0 | 5 |
| Curiosity Killed or Incapacitated the Cat and the Asymptotically Optimal Agent | Jun 5, 2020 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 | 5 |
| Safe Policy Optimization with Local Generalized Linear Function Approximations | Nov 9, 2021 | Reinforcement Learning (RL)Safe Exploration | CodeCode Available | 0 | 5 |
| Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding | May 28, 2024 | reinforcement-learningReinforcement Learning (RL) | CodeCode Available | 0 | 5 |
| Safe Exploration Method for Reinforcement Learning under Existence of Disturbance | Sep 30, 2022 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 | 5 |
| Safe Exploration in Finite Markov Decision Processes with Gaussian Processes | Jun 15, 2016 | Gaussian ProcessesReinforcement Learning | CodeCode Available | 0 | 5 |
| GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical Systems | Jan 24, 2022 | global-optimizationSafe Exploration | CodeCode Available | 0 | 5 |
| Safe Continuous Control with Constrained Model-Based Policy Optimization | Apr 14, 2021 | continuous-controlContinuous Control | CodeCode Available | 0 | 5 |
| Probabilistic Counterexample Guidance for Safer Reinforcement Learning (Extended Version) | Jul 10, 2023 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 | 5 |
| A comparison of RL-based and PID controllers for 6-DOF swimming robots: hybrid underwater object tracking | Jan 29, 2024 | Object TrackingSafe Exploration | CodeCode Available | 0 | 5 |
| DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning | Dec 1, 2021 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 | 5 |
| Benefits of Monotonicity in Safe Exploration with Gaussian Processes | Nov 3, 2022 | Gaussian ProcessesSafe Exploration | CodeCode Available | 0 | 5 |
| Safe and Sample-efficient Reinforcement Learning for Clustered Dynamic Environments | Mar 24, 2023 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 | 5 |
| Exterior Penalty Policy Optimization with Penalty Metric Network under Constraints | Jul 22, 2024 | Safe Exploration | CodeCode Available | 0 | 5 |
| Enforcing Almost-Sure Reachability in POMDPs | Jun 30, 2020 | Decision Makingreinforcement-learning | CodeCode Available | 0 | 5 |
| Safe Exploration for Optimizing Contextual Bandits | Feb 2, 2020 | counterfactualInformation Retrieval | CodeCode Available | 0 | 5 |
| Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning | Sep 18, 2024 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 | 5 |
| Concrete Problems in AI Safety | Jun 21, 2016 | BIG-bench Machine LearningSafe Exploration | CodeCode Available | 0 | 5 |
| DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention | Oct 27, 2021 | OpenAI Gymreinforcement-learning | —Unverified | 0 | 0 |
| Decoupled Learning of Environment Characteristics for Safe Exploration | Aug 9, 2017 | reinforcement-learningReinforcement Learning | —Unverified | 0 | 0 |
| Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics | Jul 21, 2021 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 | 0 |
| Data-efficient visuomotor policy training using reinforcement learning and generative models | Jul 26, 2020 | Decision MakingDisentanglement | —Unverified | 0 | 0 |
| Data Efficient Reinforcement Learning for Legged Robots | Jul 8, 2019 | Model Predictive Controlreinforcement-learning | —Unverified | 0 | 0 |
| Avoiding Negative Side-Effects and Promoting Safe Exploration with Imaginative Planning | Sep 25, 2019 | Reinforcement Learning (RL)Safe Exploration | —Unverified | 0 | 0 |
| Learning-based Symbolic Abstractions for Nonlinear Control Systems | Apr 4, 2020 | Safe Exploration | —Unverified | 0 | 0 |
| Contextual Affordances for Safe Exploration in Robotic Scenarios | May 10, 2024 | Safe Exploration | —Unverified | 0 | 0 |
