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NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning

NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning

1 February 2021
Rongjun Qin
Songyi Gao
Xingyuan Zhang
Zhen Xu
Shengkai Huang
Zewen Li
Weinan Zhang
Yang Yu
    OffRL
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Papers citing "NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning"

21 / 21 papers shown
Title
SAMBO-RL: Shifts-aware Model-based Offline Reinforcement Learning
SAMBO-RL: Shifts-aware Model-based Offline Reinforcement Learning
Wang Luo
Haoran Li
Zicheng Zhang
Congying Han
Jiayu Lv
Tiande Guo
OffRL
46
1
0
23 Aug 2024
Exclusively Penalized Q-learning for Offline Reinforcement Learning
Exclusively Penalized Q-learning for Offline Reinforcement Learning
Junghyuk Yeom
Yonghyeon Jo
Jungmo Kim
Sanghyeon Lee
Seungyul Han
OffRL
40
2
0
23 May 2024
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline
  Reinforcement Learning
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning
Fan Luo
Tian Xu
Xingchen Cao
Yang Yu
OffRL
29
7
0
09 Oct 2023
Robotic Manipulation Datasets for Offline Compositional Reinforcement
  Learning
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning
Marcel Hussing
Jorge Armando Mendez Mendez
Anisha Singrodia
Cassandra Kent
Eric Eaton
OffRL
31
5
0
13 Jul 2023
Federated Ensemble-Directed Offline Reinforcement Learning
Federated Ensemble-Directed Offline Reinforcement Learning
Desik Rengarajan
N. Ragothaman
D. Kalathil
S. Shakkottai
OffRL
32
1
0
04 May 2023
Learning to Control Autonomous Fleets from Observation via Offline
  Reinforcement Learning
Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning
Carolin Schmidt
Daniele Gammelli
Francisco Câmara Pereira
Filipe Rodrigues
OffRL
14
4
0
28 Feb 2023
MERLIN: Multi-agent offline and transfer learning for occupant-centric
  energy flexible operation of grid-interactive communities using smart meter
  data and CityLearn
MERLIN: Multi-agent offline and transfer learning for occupant-centric energy flexible operation of grid-interactive communities using smart meter data and CityLearn
Kingsley Nweye
S. Sankaranarayanan
Zoltán Nagy
OffRL
AI4CE
25
25
0
31 Dec 2022
On Realization of Intelligent Decision-Making in the Real World: A
  Foundation Decision Model Perspective
On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective
Ying Wen
Bo Liu
M. Zhou
Shufang Hou
Zhe Cao
Chenyang Le
Jingxiao Chen
Zheng Tian
Weinan Zhang
Jun Wang
AI4CE
23
10
0
24 Dec 2022
The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning
The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning
Henrique Donancio
L. Vercouter
H. Roclawski
AI4CE
18
1
0
20 Oct 2022
Sustainable Online Reinforcement Learning for Auto-bidding
Sustainable Online Reinforcement Learning for Auto-bidding
Zhiyu Mou
Yusen Huo
Rongquan Bai
Mingzhou Xie
Chuan Yu
Jian Xu
Bo Zheng
OffRL
OnRL
34
15
0
13 Oct 2022
A Survey on Model-based Reinforcement Learning
A Survey on Model-based Reinforcement Learning
Fan Luo
Tian Xu
Hang Lai
Xiong-Hui Chen
Weinan Zhang
Yang Yu
OffRL
LRM
50
101
0
19 Jun 2022
Bootstrapped Transformer for Offline Reinforcement Learning
Bootstrapped Transformer for Offline Reinforcement Learning
Kerong Wang
Hanye Zhao
Xufang Luo
Kan Ren
Weinan Zhang
Dongsheng Li
OffRL
16
37
0
17 Jun 2022
DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement
  Learning
DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning
Jinxin Liu
Hongyin Zhang
Donglin Wang
OffRL
38
32
0
13 Mar 2022
Measuring Data Quality for Dataset Selection in Offline Reinforcement
  Learning
Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning
Phillip Swazinna
Steffen Udluft
Thomas Runkler
OffRL
25
6
0
26 Nov 2021
Real-world challenges for multi-agent reinforcement learning in
  grid-interactive buildings
Real-world challenges for multi-agent reinforcement learning in grid-interactive buildings
Kingsley Nweye
Bo Liu
Peter Stone
Zoltán Nagy
OffRL
AI4CE
37
37
0
25 Nov 2021
The Impact of Data Distribution on Q-learning with Function
  Approximation
The Impact of Data Distribution on Q-learning with Function Approximation
Pedro P. Santos
Diogo S. Carvalho
A. Sardinha
Francisco S. Melo
OffRL
19
2
0
23 Nov 2021
Curriculum Offline Imitation Learning
Curriculum Offline Imitation Learning
Minghuan Liu
Hanye Zhao
Zhengyu Yang
Jian Shen
Weinan Zhang
Li Zhao
Tie-Yan Liu
OffRL
29
1
0
03 Nov 2021
A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise
  Datasets
A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets
J. E. Grigsby
Yanjun Qi
OffRL
24
5
0
10 Oct 2021
A Workflow for Offline Model-Free Robotic Reinforcement Learning
A Workflow for Offline Model-Free Robotic Reinforcement Learning
Aviral Kumar
Anika Singh
Stephen Tian
Chelsea Finn
Sergey Levine
OffRL
143
85
0
22 Sep 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
340
1,960
0
04 May 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
362
11,700
0
09 Mar 2017
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