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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 101135 of 135 papers

TitleStatusHype
SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference MeasureCode1
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems0
Safe deep reinforcement learning-based constrained optimal control scheme for active distribution networks0
Learning-based Symbolic Abstractions for Nonlinear Control Systems0
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization0
Safe reinforcement learning for probabilistic reachability and safety specifications: A Lyapunov-based approachCode0
Safe Exploration for Optimizing Contextual BanditsCode0
Safe Interactive Model-Based Learning0
Safe Exploration for Interactive Machine Learning0
Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation0
Avoiding Negative Side-Effects and Promoting Safe Exploration with Imaginative Planning0
Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning0
Linear Stochastic Bandits Under Safety Constraints0
Data Efficient Reinforcement Learning for Legged Robots0
Learning-based Model Predictive Control for Safe Exploration and Reinforcement LearningCode0
Robust Regression for Safe Exploration in Control0
A Bayesian Approach to Robust Reinforcement Learning0
Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots0
Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models0
Temporal Logic Guided Safe Reinforcement Learning Using Control Barrier Functions0
Safety-Guided Deep Reinforcement Learning via Online Gaussian Process Estimation0
A predictive safety filter for learning-based control of constrained nonlinear dynamical systems0
Safe Exploration in Markov Decision Processes with Time-Variant Safety using Spatio-Temporal Gaussian Process0
Safe Reinforcement Learning via Probabilistic Shields0
BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback0
Virtuously Safe Reinforcement Learning0
Learning-based Model Predictive Control for Safe ExplorationCode0
Safe Exploration in Continuous Action SpacesCode1
Safe Exploration for Identifying Linear Systems via Robust Optimization0
AI Safety GridworldsCode0
Decoupled Learning of Environment Characteristics for Safe Exploration0
Concrete Problems in AI SafetyCode0
Safe Exploration in Finite Markov Decision Processes with Gaussian ProcessesCode0
Safe Exploration of State and Action Spaces in Reinforcement Learning0
Safe Exploration in Markov Decision Processes0
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