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FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using
  Human Feedback

FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback

19 January 2020
Baicen Xiao
Qifan Lu
Bhaskar Ramasubramanian
Andrew Clark
L. Bushnell
Radha Poovendran
ArXivPDFHTML

Papers citing "FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback"

9 / 9 papers shown
Title
CREW: Facilitating Human-AI Teaming Research
CREW: Facilitating Human-AI Teaming Research
Lingyu Zhang
Zhengran Ji
Boyuan Chen
59
3
0
03 Jan 2025
Informativeness of Reward Functions in Reinforcement Learning
Informativeness of Reward Functions in Reinforcement Learning
R. Devidze
Parameswaran Kamalaruban
Adish Singla
34
2
0
10 Feb 2024
Iterative Reward Shaping using Human Feedback for Correcting Reward
  Misspecification
Iterative Reward Shaping using Human Feedback for Correcting Reward Misspecification
Jasmina Gajcin
J. McCarthy
Rahul Nair
Radu Marinescu
Elizabeth M. Daly
Ivana Dusparic
25
3
0
30 Aug 2023
Reinforcement Learning for UAV control with Policy and Reward Shaping
Reinforcement Learning for UAV control with Policy and Reward Shaping
Cristian Millán-Arias
R. Contreras
Francisco Cruz
Bruno José Torres Fernandes
OffRL
23
1
0
06 Dec 2022
Privacy-Preserving Reinforcement Learning Beyond Expectation
Privacy-Preserving Reinforcement Learning Beyond Expectation
Arezoo Rajabi
Bhaskar Ramasubramanian
A. Maruf
Radha Poovendran
OffRL
25
2
0
18 Mar 2022
Accelerating Reinforcement Learning Agent with EEG-based Implicit Human
  Feedback
Accelerating Reinforcement Learning Agent with EEG-based Implicit Human Feedback
Duo Xu
Mohit Agarwal
Ekansh Gupta
Faramarz Fekri
Raghupathy Sivakumar
OffRL
30
11
0
30 Jun 2020
Widening the Pipeline in Human-Guided Reinforcement Learning with
  Explanation and Context-Aware Data Augmentation
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation
L. Guan
Mudit Verma
Sihang Guo
Ruohan Zhang
Subbarao Kambhampati
43
42
0
26 Jun 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
278
5,695
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,167
0
06 Jun 2015
1