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Model-based Reinforcement Learning: A Survey

Model-based Reinforcement Learning: A Survey

30 June 2020
Thomas M. Moerland
Joost Broekens
Aske Plaat
Catholijn M. Jonker
    OffRL
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Papers citing "Model-based Reinforcement Learning: A Survey"

15 / 15 papers shown
Title
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Chen Wang
Kaiyi Ji
Junyi Geng
Zhongqiang Ren
Taimeng Fu
...
Yi Du
Qihang Li
Y. Yang
Xiao Lin
Zhipeng Zhao
SSL
76
9
0
28 Jan 2025
On-line Policy Improvement using Monte-Carlo Search
On-line Policy Improvement using Monte-Carlo Search
Gerald Tesauro
Gregory R. Galperin
79
270
0
09 Jan 2025
Acceleration for Deep Reinforcement Learning using Parallel and
  Distributed Computing: A Survey
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey
Zhihong Liu
Xin Xu
Peng Qiao
Dongsheng Li
OffRL
20
2
0
08 Nov 2024
Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control
Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control
Zihao Sheng
Zilin Huang
Sikai Chen
31
8
0
30 Aug 2024
Virtual Action Actor-Critic Framework for Exploration (Student Abstract)
Virtual Action Actor-Critic Framework for Exploration (Student Abstract)
Bumgeun Park
Taeyoung Kim
Quoc-Vinh Lai-Dang
Dongsoo Har
14
1
0
06 Nov 2023
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient
  Multi-Agent Reinforcement Learning
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning
Aravind Venugopal
Stephanie Milani
Fei Fang
Balaraman Ravindran
OffRL
13
0
0
12 Apr 2023
Reinforcement Learning in the Wild with Maximum Likelihood-based Model
  Transfer
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer
Hannes Eriksson
D. Basu
Tommy Tram
Mina Alibeigi
Christos Dimitrakakis
14
1
0
18 Feb 2023
Selective Uncertainty Propagation in Offline RL
Selective Uncertainty Propagation in Offline RL
Sanath Kumar Krishnamurthy
Shrey Modi
Tanmay Gangwani
S. Katariya
B. Kveton
A. Rangi
OffRL
59
0
0
01 Feb 2023
Sensor Control for Information Gain in Dynamic, Sparse and Partially
  Observed Environments
Sensor Control for Information Gain in Dynamic, Sparse and Partially Observed Environments
J. Burns
A. Sundaresan
Pedro Sequeira
Vidyasagar Sadhu
11
0
0
03 Nov 2022
SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional,
  and Incremental Robot Learning
SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning
Jun Lv
Qiaojun Yu
Lin Shao
Wenhai Liu
Wenqiang Xu
Cewu Lu
17
24
0
29 Nov 2021
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for
  Dynamic Control
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control
Xin-Yang Liu
Jian-Xun Wang
AI4CE
18
38
0
31 Jul 2021
GEM: Group Enhanced Model for Learning Dynamical Control Systems
GEM: Group Enhanced Model for Learning Dynamical Control Systems
Philippe Hansen-Estruch
Wenling Shang
Lerrel Pinto
Pieter Abbeel
Stas Tiomkin
AI4CE
25
2
0
07 Apr 2021
Beyond the One Step Greedy Approach in Reinforcement Learning
Beyond the One Step Greedy Approach in Reinforcement Learning
Yonathan Efroni
Gal Dalal
B. Scherrer
Shie Mannor
OffRL
43
48
0
10 Feb 2018
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
236
438
0
01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
263
1,400
0
01 Dec 2016
1