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1706.03469
Cited By
Data-Efficient Policy Evaluation Through Behavior Policy Search
International Conference on Machine Learning (ICML), 2017
12 June 2017
Josiah P. Hanna
Philip S. Thomas
Peter Stone
S. Niekum
OffRL
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Papers citing
"Data-Efficient Policy Evaluation Through Behavior Policy Search"
16 / 16 papers shown
Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach
Neural Information Processing Systems (NeurIPS), 2024
Riccardo Poiani
Nicole Nobili
Alberto Maria Metelli
Marcello Restelli
190
3
0
17 Oct 2024
Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning
Claire Chen
Shuze Liu
Shangtong Zhang
OffRL
917
1
0
08 Oct 2024
Doubly Optimal Policy Evaluation for Reinforcement Learning
International Conference on Learning Representations (ICLR), 2024
Shuze Liu
Claire Chen
Shangtong Zhang
OffRL
491
5
0
03 Oct 2024
Adaptive Exploration for Data-Efficient General Value Function Evaluations
Neural Information Processing Systems (NeurIPS), 2024
Arushi Jain
Josiah P. Hanna
Doina Precup
260
2
0
13 May 2024
Policy Gradient with Active Importance Sampling
Matteo Papini
Giorgio Manganini
Alberto Maria Metelli
Marcello Restelli
OffRL
204
7
0
09 May 2024
Efficient Open-world Reinforcement Learning via Knowledge Distillation and Autonomous Rule Discovery
Ekaterina Nikonova
Cheng Xue
Jochen Renz
CLL
260
1
0
24 Nov 2023
ReVar: Strengthening Policy Evaluation via Reduced Variance Sampling
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Subhojyoti Mukherjee
Josiah P. Hanna
Robert D. Nowak
OffRL
384
18
0
09 Mar 2022
Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2021
Rujie Zhong
Duohan Zhang
Lukas Schafer
Stefano V. Albrecht
Josiah P. Hanna
OOD
OffRL
298
16
0
29 Nov 2021
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review
Rongrong Liu
F. Nageotte
P. Zanne
M. de Mathelin
Birgitta Dresp
224
190
0
08 Feb 2021
Beyond variance reduction: Understanding the true impact of baselines on policy optimization
International Conference on Machine Learning (ICML), 2020
Wesley Chung
Valentin Thomas
Marlos C. Machado
Nicolas Le Roux
OffRL
523
35
0
31 Aug 2020
Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains
James Bannon
Bradford T. Windsor
Wenbo Song
Tao Li
CML
OOD
OffRL
196
22
0
03 Jun 2020
Reinforcement Learning Architectures: SAC, TAC, and ESAC
Ala’eddin Masadeh
Zhengdao Wang
A. Kamal
83
0
0
05 Apr 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Journal of machine learning research (JMLR), 2020
Sanmit Narvekar
Bei Peng
Matteo Leonetti
Jivko Sinapov
Matthew E. Taylor
Peter Stone
ODL
579
666
0
10 Mar 2020
TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer
Conference on Robot Learning (CoRL), 2019
Adam Allevato
Elaine Schaertl Short
Mitch Pryor
A. Thomaz
496
61
0
25 Jul 2019
Provably Efficient Q-Learning with Low Switching Cost
Neural Information Processing Systems (NeurIPS), 2019
Yu Bai
Tengyang Xie
Nan Jiang
Yu Wang
321
102
0
30 May 2019
Importance Sampling Policy Evaluation with an Estimated Behavior Policy
Josiah P. Hanna
S. Niekum
Peter Stone
OffRL
371
71
0
04 Jun 2018
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