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 26–50 of 135 papers

Title	Date	Tasks	Status	Score
Curiosity Killed or Incapacitated the Cat and the Asymptotically Optimal Agent	Jun 5, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	5
Safe Policy Optimization with Local Generalized Linear Function Approximations	Nov 9, 2021	Reinforcement Learning (RL)Safe Exploration	CodeCode Available	5
Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding	May 28, 2024	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	5
Safe Exploration Method for Reinforcement Learning under Existence of Disturbance	Sep 30, 2022	reinforcement-learningReinforcement Learning	CodeCode Available	5
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes	Jun 15, 2016	Gaussian ProcessesReinforcement Learning	CodeCode Available	5
GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical Systems	Jan 24, 2022	global-optimizationSafe Exploration	CodeCode Available	5
Safe Continuous Control with Constrained Model-Based Policy Optimization	Apr 14, 2021	continuous-controlContinuous Control	CodeCode Available	5
Probabilistic Counterexample Guidance for Safer Reinforcement Learning (Extended Version)	Jul 10, 2023	reinforcement-learningReinforcement Learning	CodeCode Available	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	5
DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning	Dec 1, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	5
Benefits of Monotonicity in Safe Exploration with Gaussian Processes	Nov 3, 2022	Gaussian ProcessesSafe Exploration	CodeCode Available	5
Safe and Sample-efficient Reinforcement Learning for Clustered Dynamic Environments	Mar 24, 2023	reinforcement-learningReinforcement Learning	CodeCode Available	5
Exterior Penalty Policy Optimization with Penalty Metric Network under Constraints	Jul 22, 2024	Safe Exploration	CodeCode Available	5
Enforcing Almost-Sure Reachability in POMDPs	Jun 30, 2020	Decision Makingreinforcement-learning	CodeCode Available	5
Safe Exploration for Optimizing Contextual Bandits	Feb 2, 2020	counterfactualInformation Retrieval	CodeCode Available	5
Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning	Sep 18, 2024	reinforcement-learningReinforcement Learning	CodeCode Available	5
Concrete Problems in AI Safety	Jun 21, 2016	BIG-bench Machine LearningSafe Exploration	CodeCode Available	5
DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention	Oct 27, 2021	OpenAI Gymreinforcement-learning	—Unverified	0
Decoupled Learning of Environment Characteristics for Safe Exploration	Aug 9, 2017	reinforcement-learningReinforcement Learning	—Unverified	0
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics	Jul 21, 2021	Deep Reinforcement Learningreinforcement-learning	—Unverified	0
Data-efficient visuomotor policy training using reinforcement learning and generative models	Jul 26, 2020	Decision MakingDisentanglement	—Unverified	0
Data Efficient Reinforcement Learning for Legged Robots	Jul 8, 2019	Model Predictive Controlreinforcement-learning	—Unverified	0
Avoiding Negative Side-Effects and Promoting Safe Exploration with Imaginative Planning	Sep 25, 2019	Reinforcement Learning (RL)Safe Exploration	—Unverified	0
Learning-based Symbolic Abstractions for Nonlinear Control Systems	Apr 4, 2020	Safe Exploration	—Unverified	0
Contextual Affordances for Safe Exploration in Robotic Scenarios	May 10, 2024	Safe Exploration	—Unverified	0

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