ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1709.09480
  4. Cited By
A Benchmark Environment Motivated by Industrial Control Problems

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
ArXivPDFHTML

Papers citing "A Benchmark Environment Motivated by Industrial Control Problems"

14 / 14 papers shown
Title
FACTS: A Factored State-Space Framework For World Modelling
FACTS: A Factored State-Space Framework For World Modelling
Li Nanbo
Firas Laakom
Yucheng Xu
Wenyi Wang
Jürgen Schmidhuber
AI4TS
247
0
0
28 Oct 2024
Episodic Return Decomposition by Difference of Implicitly Assigned
  Sub-Trajectory Reward
Episodic Return Decomposition by Difference of Implicitly Assigned Sub-Trajectory Reward
Hao-Chu Lin
Hongqiu Wu
Jiaji Zhang
Yihao Sun
Junyin Ye
Yang Yu
32
2
0
17 Dec 2023
ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource
  Allocation
ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation
Abhijeet Pendyala
Justin Dettmer
Tobias Glasmachers
Asma Atamna
OffRL
19
6
0
06 Jul 2023
Automatic Trade-off Adaptation in Offline RL
Automatic Trade-off Adaptation in Offline RL
Phillip Swazinna
Steffen Udluft
Thomas Runkler
OffRL
42
0
0
16 Jun 2023
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
53
101
0
19 Jun 2022
User-Interactive Offline Reinforcement Learning
User-Interactive Offline Reinforcement Learning
Phillip Swazinna
Steffen Udluft
Thomas Runkler
OffRL
30
11
0
21 May 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
27
6
0
26 Nov 2021
Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow
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
21
2
0
26 Mar 2021
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
Rongjun Qin
Songyi Gao
Xingyuan Zhang
Zhen Xu
Shengkai Huang
Zewen Li
Weinan Zhang
Yang Yu
OffRL
140
80
0
01 Feb 2021
Wield: Systematic Reinforcement Learning With Progressive Randomization
Wield: Systematic Reinforcement Learning With Progressive Randomization
Michael Schaarschmidt
Kai Fricke
Eiko Yoneki
24
2
0
15 Sep 2019
Recurrent World Models Facilitate Policy Evolution
Recurrent World Models Facilitate Policy Evolution
David R Ha
Jürgen Schmidhuber
SyDa
TPM
52
920
0
04 Sep 2018
Generating Interpretable Fuzzy Controllers using Particle Swarm
  Optimization and Genetic Programming
Generating Interpretable Fuzzy Controllers using Particle Swarm Optimization and Genetic Programming
D. Hein
Steffen Udluft
Thomas Runkler
OffRL
11
18
0
29 Apr 2018
World Models
World Models
David R Ha
Jürgen Schmidhuber
SyDa
50
1,036
0
27 Mar 2018
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,505
0
25 Jan 2017
1