SOTAVerified

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

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Showing 41–50 of 135 papers

TitleStatusHype
A Safe Self-evolution Algorithm for Autonomous Driving Based on Data-Driven Risk Quantification Model—0
Highway Value Iteration Networks—0
A Safe Semi-supervised Graph Convolution Network—0
Information-Theoretic Safe Bayesian Optimization—0
Effects of Safety State Augmentation on Safe Exploration—0
A safe exploration approach to constrained Markov decision processes—0
Conservative Safety Critics for Exploration—0
A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors—0
Learning-based Symbolic Abstractions for Nonlinear Control Systems—0
BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback—0
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