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 76–100 of 135 papers

Title	Date	Tasks	Status	Hype
DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning	Dec 1, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	0
Safe Policy Optimization with Local Generalized Linear Function Approximations	Nov 9, 2021	Reinforcement Learning (RL)Safe Exploration	CodeCode Available	0
Infinite Time Horizon Safety of Bayesian Neural Networks	Nov 4, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	0
DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention	Oct 27, 2021	OpenAI Gymreinforcement-learning	—Unverified	0
Dual-Arm Adversarial Robot Learning	Oct 15, 2021	Safe Exploration	—Unverified	0
Safe Exploration in Linear Equality Constraint	Sep 29, 2021	reinforcement-learningReinforcement Learning	—Unverified	0
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning	Sep 26, 2021	BenchmarkingDecision Making	CodeCode Available	2
Safety-Critical Learning of Robot Control with Temporal Logic Specifications	Sep 7, 2021	Gaussian ProcessesReinforcement Learning (RL)	—Unverified	0
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics	Jul 21, 2021	Deep Reinforcement Learningreinforcement-learning	—Unverified	0
Safe Exploration by Solving Early Terminated MDP	Jul 9, 2021	Reinforcement Learning (RL)Safe Exploration	—Unverified	0
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs	Jun 4, 2021	Safe Exploration	—Unverified	0
Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety	May 22, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	1
Safe Exploration in Model-based Reinforcement Learning using Control Barrier Functions	Apr 16, 2021	Model-based Reinforcement Learningreinforcement-learning	—Unverified	0
Safe Continuous Control with Constrained Model-Based Policy Optimization	Apr 14, 2021	continuous-controlContinuous Control	CodeCode Available	0
Towards Safe Continuing Task Reinforcement Learning	Feb 24, 2021	reinforcement-learningReinforcement Learning	—Unverified	0
Safe model-based design of experiments using Gaussian processes	Nov 19, 2020	Experimental DesignGaussian Processes	—Unverified	0
Conservative Safety Critics for Exploration	Oct 27, 2020	Reinforcement Learning (RL)Safe Exploration	—Unverified	0
Autonomous UAV Exploration of Dynamic Environments via Incremental Sampling and Probabilistic Roadmap	Oct 14, 2020	Safe Exploration	CodeCode Available	1
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution	Sep 29, 2020	General Reinforcement LearningMinecraft	CodeCode Available	1
Neurosymbolic Reinforcement Learning with Formally Verified Exploration	Sep 26, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	1
Data-efficient visuomotor policy training using reinforcement learning and generative models	Jul 26, 2020	Decision MakingDisentanglement	—Unverified	0
Provably Safe PAC-MDP Exploration Using Analogies	Jul 7, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	1
Verifiably Safe Exploration for End-to-End Reinforcement Learning	Jul 2, 2020	Deep Reinforcement Learningobject-detection	CodeCode Available	1
Enforcing Almost-Sure Reachability in POMDPs	Jun 30, 2020	Decision Makingreinforcement-learning	CodeCode Available	0
Curiosity Killed or Incapacitated the Cat and the Asymptotically Optimal Agent	Jun 5, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	0

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