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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

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Showing 101–110 of 135 papers

TitleStatusHype
Safe Exploration for Efficient Policy Evaluation and Comparison—0
Safe Exploration for Identifying Linear Systems via Robust Optimization—0
Safe Exploration for Interactive Machine Learning—0
Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-free RL—0
Safe Exploration in Linear Equality Constraint—0
Safe Exploration in Markov Decision Processes with Time-Variant Safety using Spatio-Temporal Gaussian Process—0
Safe Exploration in Markov Decision Processes—0
Safe Exploration in Model-based Reinforcement Learning using Control Barrier Functions—0
Infinite Time Horizon Safety of Bayesian Neural NetworksCode0
GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical SystemsCode0
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