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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 111–120 of 135 papers

Title	Date	Tasks	Status	Hype
Information-Theoretic Safe Exploration with Gaussian Processes	Dec 9, 2022	Decision MakingGaussian Processes	CodeCode Available	0
Safe Exploration for Optimizing Contextual Bandits	Feb 2, 2020	counterfactualInformation Retrieval	CodeCode Available	0
Learning-based Model Predictive Control for Safe Exploration	Mar 22, 2018	modelModel Predictive Control	CodeCode Available	0
Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning	Jun 27, 2019	Model Predictive Controlreinforcement-learning	CodeCode Available	0
Confidence-Guided Human-AI Collaboration: Reinforcement Learning with Distributional Proxy Value Propagation for Autonomous Driving	Jun 4, 2025	Autonomous DrivingImitation Learning	CodeCode Available	0
CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning	Feb 15, 2022	reinforcement-learningReinforcement Learning	CodeCode Available	0
AI Safety Gridworlds	Nov 27, 2017	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	0
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes	Jun 15, 2016	Gaussian ProcessesReinforcement Learning	CodeCode Available	0
The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning	Oct 20, 2022	Deep Reinforcement LearningOffline RL	CodeCode Available	0
Concrete Problems in AI Safety	Jun 21, 2016	BIG-bench Machine LearningSafe Exploration	CodeCode Available	0

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