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Safe Exploration

Safe Exploration is an approach to collect ground truth data by safely interacting with the environment.

Source: Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems

Papers

Showing 2650 of 135 papers

TitleStatusHype
Curiosity Killed or Incapacitated the Cat and the Asymptotically Optimal AgentCode0
Safe reinforcement learning for probabilistic reachability and safety specifications: A Lyapunov-based approachCode0
Safe Exploration in Finite Markov Decision Processes with Gaussian ProcessesCode0
Safe Exploration for Optimizing Contextual BanditsCode0
Safe Exploration Method for Reinforcement Learning under Existence of DisturbanceCode0
Safe Reinforcement Learning in Black-Box Environments via Adaptive ShieldingCode0
Safe and Sample-efficient Reinforcement Learning for Clustered Dynamic EnvironmentsCode0
A comparison of RL-based and PID controllers for 6-DOF swimming robots: hybrid underwater object trackingCode0
Effects of Safety State Augmentation on Safe ExplorationCode0
Probabilistic Counterexample Guidance for Safer Reinforcement Learning (Extended Version)Code0
Safe Continuous Control with Constrained Model-Based Policy OptimizationCode0
Benefits of Monotonicity in Safe Exploration with Gaussian ProcessesCode0
Exterior Penalty Policy Optimization with Penalty Metric Network under ConstraintsCode0
Enforcing Almost-Sure Reachability in POMDPsCode0
DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement LearningCode0
Handling Long-Term Safety and Uncertainty in Safe Reinforcement LearningCode0
Concrete Problems in AI SafetyCode0
GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical SystemsCode0
DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention0
Decoupled Learning of Environment Characteristics for Safe Exploration0
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics0
Data-efficient visuomotor policy training using reinforcement learning and generative models0
Data Efficient Reinforcement Learning for Legged Robots0
Avoiding Negative Side-Effects and Promoting Safe Exploration with Imaginative Planning0
Learning-based Symbolic Abstractions for Nonlinear Control Systems0
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