SOTAVerified|Agents Browse Leaderboard About

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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 131–135 of 135 papers

Title	Date	Tasks	Status	Hype
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
Safe Exploration Method for Reinforcement Learning under Existence of Disturbance	Sep 30, 2022	reinforcement-learningReinforcement Learning	CodeCode Available	0
Probabilistic Counterexample Guidance for Safer Reinforcement Learning (Extended Version)	Jul 10, 2023	reinforcement-learningReinforcement Learning	CodeCode Available	0
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

Show:10 25 50

← PrevPage 14 of 14Next →

No leaderboard results yet.