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Showing 40 out of 156 candidates

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Hepeng Li

University of Maine, United States

28 papers·1.5K citations·h-index 10·i10 11·8 yrs exp

Learning to Operate Distribution Networks With Safe Deep Reinforcement Learning

Yousef Emam

Georgia Institute of Technology, United States

19 papers·172 citations·h-index 5·i10 4·7 yrs exp

Safe Reinforcement Learning Using Robust Control Barrier Functions

Erdem Bıyık

University of Southern California, United States

75 papers·779 citations·h-index 18·i10 22·10 yrs exp

Active preference-based Gaussian process regression for reward learning and optimization

Tong Su

Dartmouth College, United States

34 papers·428 citations·h-index 11·i10 13·8 yrs exp

A Review of Safe Reinforcement Learning Methods for Modern Power Systems

Mitchell Shortt

Arizona State University, United States

9 papers·347 citations·h-index 5·i10 2·6 yrs exp

Gamification in mobile-assisted language learning: a systematic review of Duolingo literature from public release of 2012 to early 2020

Shantanu Tilak

Wesleyan University, United States

47 papers·542 citations·h-index 9·i10 8·6 yrs exp

Gamification in mobile-assisted language learning: a systematic review of Duolingo literature from public release of 2012 to early 2020

Irina Kuznetcova

Pennsylvania State University, United States

25 papers·566 citations·h-index 11·i10 11·9 yrs exp

Gamification in mobile-assisted language learning: a systematic review of Duolingo literature from public release of 2012 to early 2020

Bethany Martens

Xavier University, United States

4 papers·311 citations·h-index 2·i10 1·7 yrs exp

Gamification in mobile-assisted language learning: a systematic review of Duolingo literature from public release of 2012 to early 2020

Hanna Krasowski

Georgia Institute of Technology, United States

38 papers·200 citations·h-index 6·i10 5·6 yrs exp

Provably Safe Reinforcement Learning via Action Projection Using Reachability Analysis and Polynomial Zonotopes

Shreyas Kousik

Georgia Institute of Technology, United States

77 papers·246 citations·h-index 8·i10 6·10 yrs exp

Safe Reinforcement Learning Using Black-Box Reachability Analysis

Kyle Dunlap

United States Air Force Research Laboratory, United States

38 papers·162 citations·h-index 6·i10 4·5 yrs exp

Run Time Assured Reinforcement Learning for Safe Satellite Docking

Kaiden Delsing

Cedarville University, United States

1 papers·27 citations·h-index 1·i10 1·4 yrs exp

Run Time Assured Reinforcement Learning for Safe Satellite Docking

Kerianne L. Hobbs

United States Air Force Research Laboratory, United States

83 papers·522 citations·h-index 12·i10 15·8 yrs exp

Run Time Assured Reinforcement Learning for Safe Satellite Docking

S M Nahid Mahmud

Purdue University West Lafayette, United States

14 papers·73 citations·h-index 3·i10 2·6 yrs exp

Safe Model-Based Reinforcement Learning for Systems With Parametric Uncertainties

Zachary I. Bell

United States Air Force Research Laboratory, United States

69 papers·523 citations·h-index 12·i10 17·10 yrs exp

Safe Model-Based Reinforcement Learning for Systems With Parametric Uncertainties

Akshay Ajagekar

Cornell University, United States

33 papers·1.5K citations·h-index 18·i10 20·7 yrs exp

Deep Reinforcement Learning Based Unit Commitment Scheduling under Load and Wind Power Uncertainty

Léa Décarie-Spain

University of Southern California, United States

44 papers·1.4K citations·h-index 20·i10 23·10 yrs exp

Ghrelin and Glucagon-Like Peptide-1: A Gut-Brain Axis Battle for Food Reward

Sleiman Safaoui

Exponent (United States), United States

23 papers·197 citations·h-index 9·i10 8·8 yrs exp

Safe Multiagent Motion Planning Under Uncertainty for Drones Using Filtered Reinforcement Learning

Shreyas Chaudhari

University of Massachusetts Amherst, United States

36 papers·188 citations·h-index 7·i10 6·8 yrs exp

RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs

Vishvak Murahari

Princeton University, United States

26 papers·355 citations·h-index 8·i10 7·8 yrs exp

RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs

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