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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 31–40 of 135 papers

Title	Date	Tasks	Status	Hype	Score
Safe Continuous Control with Constrained Model-Based Policy Optimization	Apr 14, 2021	continuous-controlContinuous Control	CodeCode Available	0	5
Exterior Penalty Policy Optimization with Penalty Metric Network under Constraints	Jul 22, 2024	Safe Exploration	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
Effects of Safety State Augmentation on Safe Exploration	Jun 6, 2022	Reinforcement Learning (RL)Safe Exploration	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
Benefits of Monotonicity in Safe Exploration with Gaussian Processes	Nov 3, 2022	Gaussian ProcessesSafe Exploration	CodeCode Available	0	5
Enforcing Almost-Sure Reachability in POMDPs	Jun 30, 2020	Decision Makingreinforcement-learning	CodeCode Available	0	5
Information-Theoretic Safe Exploration with Gaussian Processes	Dec 9, 2022	Decision MakingGaussian Processes	CodeCode Available	0	5
Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning	Sep 18, 2024	reinforcement-learningReinforcement Learning	CodeCode Available	0	5
Infinite Time Horizon Safety of Bayesian Neural Networks	Nov 4, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	0	5

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