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Reward Uncertainty for Exploration in Preference-based Reinforcement
  Learning

Reward Uncertainty for Exploration in Preference-based Reinforcement Learning

24 May 2022
Xinran Liang
Katherine Shu
Kimin Lee
Pieter Abbeel
ArXivPDFHTML

Papers citing "Reward Uncertainty for Exploration in Preference-based Reinforcement Learning"

15 / 15 papers shown
Title
Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications
Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications
Sinan Ibrahim
Mostafa Mostafa
Ali Jnadi
Hadi Salloum
Pavel Osinenko
OffRL
84
15
0
31 Dec 2024
Safety through feedback in Constrained RL
Safety through feedback in Constrained RL
Shashank Reddy Chirra
Pradeep Varakantham
P. Paruchuri
OffRL
62
1
0
28 Jun 2024
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation
JoonHo Lee
Jae Oh Woo
Juree Seok
Parisa Hassanzadeh
Wooseok Jang
...
Hankyu Moon
Wenjun Hu
Yeong-Dae Kwon
Taehee Lee
Seungjai Min
91
2
0
10 May 2024
Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning
Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning
Calarina Muslimani
Matthew E. Taylor
OffRL
97
2
0
30 Apr 2024
Proportional Aggregation of Preferences for Sequential Decision Making
Proportional Aggregation of Preferences for Sequential Decision Making
Nikhil Chandak
Shashwat Goel
Dominik Peters
81
12
0
26 Jun 2023
B-Pref: Benchmarking Preference-Based Reinforcement Learning
B-Pref: Benchmarking Preference-Based Reinforcement Learning
Kimin Lee
Laura M. Smith
Anca Dragan
Pieter Abbeel
OffRL
75
97
0
04 Nov 2021
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via
  Relabeling Experience and Unsupervised Pre-training
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training
Kimin Lee
Laura M. Smith
Pieter Abbeel
OffRL
58
284
0
09 Jun 2021
Behavior From the Void: Unsupervised Active Pre-Training
Behavior From the Void: Unsupervised Active Pre-Training
Hao Liu
Pieter Abbeel
VLM
SSL
75
200
0
08 Mar 2021
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep
  Reinforcement Learning
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Kimin Lee
Michael Laskin
A. Srinivas
Pieter Abbeel
OffRL
48
203
0
09 Jul 2020
Active Preference-Based Gaussian Process Regression for Reward Learning
Active Preference-Based Gaussian Process Regression for Reward Learning
Erdem Biyik
Nicolas Huynh
Mykel J. Kochenderfer
Dorsa Sadigh
GP
59
108
0
06 May 2020
CURL: Contrastive Unsupervised Representations for Reinforcement
  Learning
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
A. Srinivas
Michael Laskin
Pieter Abbeel
SSL
DRL
OffRL
81
1,084
0
08 Apr 2020
Self-Supervised Exploration via Disagreement
Self-Supervised Exploration via Disagreement
Deepak Pathak
Dhiraj Gandhi
Abhinav Gupta
SSL
73
381
0
10 Jun 2019
Scalable agent alignment via reward modeling: a research direction
Scalable agent alignment via reward modeling: a research direction
Jan Leike
David M. Krueger
Tom Everitt
Miljan Martic
Vishal Maini
Shane Legg
86
413
0
19 Nov 2018
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRM
SSL
106
2,433
0
15 May 2017
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
191
8,833
0
04 Feb 2016
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