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A Benchmark Environment Motivated by Industrial Control Problems
27 September 2017
D. Hein
Stefan Depeweg
Michel Tokic
Steffen Udluft
A. Hentschel
Thomas Runkler
V. Sterzing
OffRL
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Papers citing
"A Benchmark Environment Motivated by Industrial Control Problems"
37 / 37 papers shown
Variational Quantum Circuits in Offline Contextual Bandit Problems
Lukas Schulte
Daniel Hein
Steffen Udluft
Thomas Runkler
OffRL
114
0
0
09 Sep 2025
Safe Deployment of Offline Reinforcement Learning via Input Convex Action Correction
Alex Durkin
Jasper Stolte
Matthew Jones
Raghuraman Pitchumani
Bei Li
Christian Michler
Mehmet Mercangöz
OffRL
OnRL
196
1
0
30 Jul 2025
SortingEnv: An Extendable RL-Environment for an Industrial Sorting Process
Tom Maus
Nico Zengeler
Tobias Glasmachers
244
2
0
13 Mar 2025
Fully Test-time Adaptation for Tabular Data
AAAI Conference on Artificial Intelligence (AAAI), 2024
Zhi Zhou
Ming Yang
Lan-Zhe Guo
Yu-Feng Li
TTA
LMTD
315
6
0
14 Dec 2024
FACTS: A Factored State-Space Framework For World Modelling
International Conference on Learning Representations (ICLR), 2024
Li Nanbo
Firas Laakom
Yucheng Xu
Wenyi Wang
Jürgen Schmidhuber
AI4TS
992
1
0
28 Oct 2024
Scalable Multi-agent Reinforcement Learning for Factory-wide Dynamic Scheduling
Jaeyeon Jang
Diego Klabjan
Han Liu
Nital S. Patel
Xiuqi Li
Balakrishnan Ananthanarayanan
Husam Dauod
Tzung-Han Juang
OffRL
AI4CE
164
1
0
20 Sep 2024
Episodic Return Decomposition by Difference of Implicitly Assigned Sub-Trajectory Reward
Hao-Chu Lin
Hongqiu Wu
Jiaji Zhang
Yihao Sun
Junyin Ye
Yang Yu
170
3
0
17 Dec 2023
Learning Control Policies for Variable Objectives from Offline Data
IEEE Symposium Series on Computational Intelligence (IEEE-SSCI), 2023
Marc Weber
Phillip Swazinna
D. Hein
Steffen Udluft
V. Sterzing
OffRL
208
9
0
11 Aug 2023
Learning Multiple Coordinated Agents under Directed Acyclic Graph Constraints
Jaeyeon Jang
Diego Klabjan
Han Liu
Nital S. Patel
Xiuqi Li
Balakrishnan Ananthanarayanan
Husam Dauod
Tzung-Han Juang
109
1
0
13 Jul 2023
ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation
International Conference on Machine Learning, Optimization, and Data Science (MOD), 2023
Abhijeet Pendyala
Justin Dettmer
Tobias Glasmachers
Asma Atamna
OffRL
111
8
0
06 Jul 2023
Automatic Trade-off Adaptation in Offline RL
The European Symposium on Artificial Neural Networks (ESANN), 2023
Phillip Swazinna
Steffen Udluft
Thomas Runkler
OffRL
146
0
0
16 Jun 2023
Dynamic Datasets and Market Environments for Financial Reinforcement Learning
Machine-mediated learning (ML), 2023
Xiao-Yang Liu
Ziyi Xia
Hongyang Yang
Jiechao Gao
Daochen Zha
Ming Zhu
Chris Wang
Zhaoran Wang
Jian Guo
OffRL
221
35
0
25 Apr 2023
A Survey on Model-based Reinforcement Learning
Science China Information Sciences (Sci. China Inf. Sci.), 2022
Fan Luo
Tian Xu
Hang Lai
Xiong-Hui Chen
Weinan Zhang
Yang Yu
OffRL
LRM
346
152
0
19 Jun 2022
Provably Efficient Offline Reinforcement Learning with Trajectory-Wise Reward
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Tengyu Xu
Yue Wang
Shaofeng Zou
Yingbin Liang
OffRL
240
15
0
13 Jun 2022
User-Interactive Offline Reinforcement Learning
International Conference on Learning Representations (ICLR), 2022
Phillip Swazinna
Steffen Udluft
Thomas Runkler
OffRL
294
12
0
21 May 2022
A cGAN Ensemble-based Uncertainty-aware Surrogate Model for Offline Model-based Optimization in Industrial Control Problems
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Cheng Feng
OffRL
AI4CE
321
1
0
15 May 2022
Comparing Model-free and Model-based Algorithms for Offline Reinforcement Learning
IFAC-PapersOnLine (IFAC-PapersOnLine), 2022
Phillip Swazinna
Steffen Udluft
D. Hein
Thomas Runkler
OffRL
164
29
0
14 Jan 2022
Learning Long-Term Reward Redistribution via Randomized Return Decomposition
International Conference on Learning Representations (ICLR), 2021
Zhizhou Ren
Ruihan Guo
Yuanshuo Zhou
Jian-wei Peng
343
42
0
26 Nov 2021
Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning
IEEE Symposium Series on Computational Intelligence (SSCI), 2021
Phillip Swazinna
Steffen Udluft
Thomas Runkler
OffRL
191
6
0
26 Nov 2021
Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters
International Conference on Machine Learning (ICML), 2021
Vladislav Kurenkov
Sergey Kolesnikov
OffRL
337
24
0
08 Oct 2021
Behavior Constraining in Weight Space for Offline Reinforcement Learning
Phillip Swazinna
Steffen Udluft
D. Hein
Thomas Runkler
OffRL
147
4
0
12 Jul 2021
Off-Policy Reinforcement Learning with Delayed Rewards
International Conference on Machine Learning (ICML), 2021
Beining Han
Zhizhou Ren
Zuofan Wu
Yuanshuo Zhou
Jian-wei Peng
OffRL
172
43
0
22 Jun 2021
Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow
John Mcleod
Hrvoje Stojić
Vincent Adam
Dongho Kim
Jordi Grau-Moya
Peter Vrancx
Felix Leibfried
OffRL
276
2
0
26 Mar 2021
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2021
Rongjun Qin
Songyi Gao
Xingyuan Zhang
Zhen Xu
Shengkai Huang
Zewen Li
Weinan Zhang
Yang Yu
OffRL
354
86
0
01 Feb 2021
Learning Guidance Rewards with Trajectory-space Smoothing
Neural Information Processing Systems (NeurIPS), 2020
Tanmay Gangwani
Yuanshuo Zhou
Jian Peng
163
43
0
23 Oct 2020
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning
Engineering applications of artificial intelligence (EAAI), 2020
Phillip Swazinna
Steffen Udluft
Thomas Runkler
OffRL
337
89
0
12 Aug 2020
Concept and the implementation of a tool to convert industry 4.0 environments modeled as FSM to an OpenAI Gym wrapper
Kallil M. C. Zielinski
Marcelo Teixeira
Richardson Ribeiro
Dalcimar Casanova
OffRL
65
1
0
29 Jun 2020
Wield: Systematic Reinforcement Learning With Progressive Randomization
Michael Schaarschmidt
Kai Fricke
Eiko Yoneki
134
2
0
15 Sep 2019
Improving Model-Based Control and Active Exploration with Reconstruction Uncertainty Optimization
Norman Di Palo
Harri Valpola
53
3
0
10 Dec 2018
Data Association with Gaussian Processes
Markus Kaiser
Clemens Otte
Thomas Runkler
Carl Henrik Ek
169
0
0
16 Oct 2018
Recurrent World Models Facilitate Policy Evolution
David R Ha
Jürgen Schmidhuber
SyDa
TPM
321
1,122
0
04 Sep 2018
LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations
Michael Schaarschmidt
A. Kuhnle
Ben Ellis
Kai Fricke
Felix Gessert
Eiko Yoneki
OffRL
109
41
0
23 Aug 2018
Generating Interpretable Fuzzy Controllers using Particle Swarm Optimization and Genetic Programming
D. Hein
Steffen Udluft
Thomas Runkler
OffRL
120
20
0
29 Apr 2018
World Models
David R Ha
Jürgen Schmidhuber
SyDa
817
1,374
1
27 Mar 2018
Interpretable Policies for Reinforcement Learning by Genetic Programming
D. Hein
Steffen Udluft
Thomas Runkler
OffRL
198
147
0
12 Dec 2017
Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning
Stefan Depeweg
José Miguel Hernández-Lobato
Finale Doshi-Velez
Steffen Udluft
UQCV
PER
BDL
UD
328
27
0
19 Oct 2017
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
959
1,742
0
25 Jan 2017
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