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SEERL: Sample Efficient Ensemble Reinforcement Learning
v1v2 (latest)

SEERL: Sample Efficient Ensemble Reinforcement Learning

Adaptive Agents and Multi-Agent Systems (AAMAS), 2019
15 January 2020
Rohan Saphal
Balaraman Ravindran
Dheevatsa Mudigere
Sasikanth Avancha
Bharat Kaul
ArXiv (abs)PDFHTML

Papers citing "SEERL: Sample Efficient Ensemble Reinforcement Learning"

8 / 8 papers shown
DEFT: Diverse Ensembles for Fast Transfer in Reinforcement Learning
DEFT: Diverse Ensembles for Fast Transfer in Reinforcement Learning
Simeon Adebola
Satvik Sharma
K. Shivakumar
OffRL
160
1
0
26 Sep 2022
ARLO: A Framework for Automated Reinforcement Learning
ARLO: A Framework for Automated Reinforcement LearningExpert systems with applications (ESWA), 2022
Marco Mussi
Davide Lombarda
Alberto Maria Metelli
F. Trovò
Marcello Restelli
OffRL
250
8
0
20 May 2022
Towards Applicable Reinforcement Learning: Improving the Generalization
  and Sample Efficiency with Policy Ensemble
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy EnsembleInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Zhengyu Yang
Kan Ren
Xufang Luo
Minghuan Liu
Yuante Li
Jiang Bian
Weinan Zhang
Dongsheng Li
233
32
0
19 May 2022
Balancing Value Underestimation and Overestimation with Realistic
  Actor-Critic
Balancing Value Underestimation and Overestimation with Realistic Actor-Critic
Sicen Li
Qinyun Tang
G. Wang
Xinmeng Ma
Li-quan Wang
OffRL
394
4
0
19 Oct 2021
MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep
  Reinforcement Learning
MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning
Qiang He
Yuxun Qu
Chen Gong
Xinwen Hou
OffRL
246
10
0
22 Sep 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Deep Reinforcement Learning at the Edge of the Statistical PrecipiceNeural Information Processing Systems (NeurIPS), 2021
Rishabh Agarwal
Max Schwarzer
Pablo Samuel Castro
Aaron Courville
Marc G. Bellemare
OffRL
679
848
0
30 Aug 2021
Latent Representation Prediction Networks
Latent Representation Prediction NetworksInternational journal of pattern recognition and artificial intelligence (IJPRAI), 2020
Hlynur Davíð Hlynsson
Merlin Schuler
Robin Schiewer
Tobias Glasmachers
Laurenz Wiskott
249
1
0
20 Sep 2020
SAMBA: Safe Model-Based & Active Reinforcement Learning
SAMBA: Safe Model-Based & Active Reinforcement LearningMachine-mediated learning (ML), 2020
Alexander I. Cowen-Rivers
Daniel Palenicek
Vincent Moens
Mohammed Abdullah
Aivar Sootla
Jun Wang
Haitham Bou-Ammar
224
47
0
12 Jun 2020
1
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