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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 41–50 of 135 papers

Title	Date	Tasks	Status	Hype
Exploration of Unranked Items in Safe Online Learning to Re-Rank	May 2, 2023	Learning-To-RankSafe Exploration	—Unverified	0
System III: Learning with Domain Knowledge for Safety Constraints	Apr 23, 2023	Safe Exploration	—Unverified	0
Approximate Shielding of Atari Agents for Safe Exploration	Apr 21, 2023	Atari GamesSafe Exploration	—Unverified	0
Safe and Sample-efficient Reinforcement Learning for Clustered Dynamic Environments	Mar 24, 2023	reinforcement-learningReinforcement Learning	CodeCode Available	0
A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors	Feb 25, 2023	reinforcement-learningReinforcement Learning (RL)	—Unverified	0
Information-Theoretic Safe Exploration with Gaussian Processes	Dec 9, 2022	Decision MakingGaussian Processes	CodeCode Available	0
Benefits of Monotonicity in Safe Exploration with Gaussian Processes	Nov 3, 2022	Gaussian ProcessesSafe Exploration	CodeCode Available	0
Atlas: Automate Online Service Configuration in Network Slicing	Oct 30, 2022	Bayesian OptimizationSafe Exploration	CodeCode Available	0
The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning	Oct 20, 2022	Deep Reinforcement LearningOffline RL	CodeCode Available	0
Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm	Oct 14, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1

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