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A Survey on Model-based Reinforcement Learning

A Survey on Model-based Reinforcement Learning

19 June 2022
Fan Luo
Tian Xu
Hang Lai
Xiong-Hui Chen
Weinan Zhang
Yang Yu
    OffRL
    LRM
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Papers citing "A Survey on Model-based Reinforcement Learning"

50 / 53 papers shown
Title
ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts
ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts
Jing-Cheng Pang
Kaiyuan Li
Y. Wang
Si-Hang Yang
Shengyi Jiang
Yang Yu
OffRL
LLMAG
LM&Ro
LRM
19
0
0
15 May 2025
RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations
RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations
Enrico Marchesini
Benjamin Donnot
Constance Crozier
Ian Dytham
Christian Merz
Lars Schewe
Nico Westerbeck
Cathy Wu
Antoine Marot
P. Donti
OffRL
47
1
0
29 Mar 2025
FLAM: Foundation Model-Based Body Stabilization for Humanoid Locomotion and Manipulation
FLAM: Foundation Model-Based Body Stabilization for Humanoid Locomotion and Manipulation
Xianqi Zhang
Hongliang Wei
Wenrui Wang
Xingtao Wang
Xiaopeng Fan
Debin Zhao
34
0
0
28 Mar 2025
NeoRL-2: Near Real-World Benchmarks for Offline Reinforcement Learning with Extended Realistic Scenarios
NeoRL-2: Near Real-World Benchmarks for Offline Reinforcement Learning with Extended Realistic Scenarios
Songyi Gao
Zuolin Tu
Rong-Jun Qin
Yi-Hao Sun
Xiong-Hui Chen
Yang Yu
OffRL
34
0
0
25 Mar 2025
Learning with Expert Abstractions for Efficient Multi-Task Continuous Control
Learning with Expert Abstractions for Efficient Multi-Task Continuous Control
Jeff Jewett
Sandhya Saisubramanian
OffRL
46
0
0
19 Mar 2025
Heterogeneous Decision Making in Mixed Traffic: Uncertainty-aware Planning and Bounded Rationality
Heterogeneous Decision Making in Mixed Traffic: Uncertainty-aware Planning and Bounded Rationality
Hang Wang
Qiaoyi Fang
Junshan Zhang
53
0
0
25 Feb 2025
On-line Policy Improvement using Monte-Carlo Search
On-line Policy Improvement using Monte-Carlo Search
Gerald Tesauro
Gregory R. Galperin
81
270
0
09 Jan 2025
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos
Xin Liu
Yaran Chen
Haoran Li
SSL
94
0
0
14 Dec 2024
Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay
Feng Chen
Fuguang Han
Cong Guan
Lei Yuan
Zhilong Zhang
Yang Yu
Zongzhang Zhang
25
0
0
16 Nov 2024
Evaluating Robustness of Reinforcement Learning Algorithms for
  Autonomous Shipping
Evaluating Robustness of Reinforcement Learning Algorithms for Autonomous Shipping
Bavo Lesy
Ali Anwar
Siegfried Mercelis
34
0
0
07 Nov 2024
World Model-based Perception for Visual Legged Locomotion
World Model-based Perception for Visual Legged Locomotion
Hang Lai
Jiahang Cao
Jiafeng Xu
Hongtao Wu
Yunfeng Lin
Tao Kong
Yong Yu
Weinan Zhang
VGen
29
2
0
25 Sep 2024
An Introduction to Reinforcement Learning: Fundamental Concepts and
  Practical Applications
An Introduction to Reinforcement Learning: Fundamental Concepts and Practical Applications
Majid Ghasemi
Amir Hossein Moosavi
Ibrahim Sorkhoh
Anjali Agrawal
Fadi Alzhouri
Dariush Ebrahimi
OffRL
37
1
0
13 Aug 2024
Learning Future Representation with Synthetic Observations for
  Sample-efficient Reinforcement Learning
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning
Xin Liu
Yaran Chen
Dong Zhao
35
1
0
20 May 2024
Learning Control Barrier Functions and their application in
  Reinforcement Learning: A Survey
Learning Control Barrier Functions and their application in Reinforcement Learning: A Survey
Maeva Guerrier
Hassan Fouad
Giovanni Beltrame
OffRL
37
1
0
22 Apr 2024
Active Exploration in Bayesian Model-based Reinforcement Learning for
  Robot Manipulation
Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation
Carlos Plou
Ana C. Murillo
Ruben Martinez-Cantin
OffRL
32
0
0
02 Apr 2024
Imitation Game: A Model-based and Imitation Learning Deep Reinforcement
  Learning Hybrid
Imitation Game: A Model-based and Imitation Learning Deep Reinforcement Learning Hybrid
Eric M. S. P. Veith
Torben Logemann
Aleksandr Berezin
Arlena Wellßow
Stephan Balduin
34
1
0
02 Apr 2024
AD3: Implicit Action is the Key for World Models to Distinguish the
  Diverse Visual Distractors
AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors
Yucen Wang
Shenghua Wan
Le Gan
Shuai Feng
De-Chuan Zhan
VGen
23
4
0
15 Mar 2024
Three Pathways to Neurosymbolic Reinforcement Learning with
  Interpretable Model and Policy Networks
Three Pathways to Neurosymbolic Reinforcement Learning with Interpretable Model and Policy Networks
Peter Graf
Patrick Emami
24
2
0
07 Feb 2024
Semi-supervised learning via DQN for log anomaly detection
Semi-supervised learning via DQN for log anomaly detection
Yingying He
Xiaobing Pei
Lihong Shen
28
1
0
06 Jan 2024
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for
  Connected Autonomous Vehicles
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles
Ruoqi Wen
Jiahao Huang
Rongpeng Li
Guoru Ding
Zhifeng Zhao
29
1
0
21 Dec 2023
FOSS: A Self-Learned Doctor for Query Optimizer
FOSS: A Self-Learned Doctor for Query Optimizer
Kai Zhong
Luming Sun
Tao Ji
Cuiping Li
Hong Chen
11
0
0
11 Dec 2023
Anytime-Competitive Reinforcement Learning with Policy Prior
Anytime-Competitive Reinforcement Learning with Policy Prior
Jianyi Yang
Pengfei Li
Tongxin Li
Adam Wierman
Shaolei Ren
38
2
0
02 Nov 2023
Diffusion Models for Reinforcement Learning: A Survey
Diffusion Models for Reinforcement Learning: A Survey
Zhengbang Zhu
Hanye Zhao
Haoran He
Yichao Zhong
Shenyu Zhang
Haoquan Guo
Tingting Chen
Weinan Zhang
41
59
0
02 Nov 2023
A Unified View on Solving Objective Mismatch in Model-Based
  Reinforcement Learning
A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning
Ran Wei
Nathan Lambert
Anthony D. McDonald
Alfredo Garcia
Roberto Calandra
28
6
0
10 Oct 2023
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
22
7
0
09 Oct 2023
Guided Cooperation in Hierarchical Reinforcement Learning via
  Model-based Rollout
Guided Cooperation in Hierarchical Reinforcement Learning via Model-based Rollout
Haoran Wang
Zeshen Tang
Leya Yang
Yaoru Sun
Fang Wang
Siyu Zhang
Ye-Ting Chen
25
2
0
24 Sep 2023
DOMAIN: MilDly COnservative Model-BAsed OfflINe Reinforcement Learning
DOMAIN: MilDly COnservative Model-BAsed OfflINe Reinforcement Learning
Xiao-Yin Liu
Xiao-Hu Zhou
Xiaoliang Xie
Shiqi Liu
Zhen-Qiu Feng
Hao Li
Mei-Jiang Gui
Tian-Yu Xiang
De-Xing Huang
Zeng-Guang Hou
OffRL
OOD
16
5
0
16 Sep 2023
Leveraging World Model Disentanglement in Value-Based Multi-Agent
  Reinforcement Learning
Leveraging World Model Disentanglement in Value-Based Multi-Agent Reinforcement Learning
Zhizun Wang
D. Meger
DRL
17
1
0
08 Sep 2023
Pretty darn good control: when are approximate solutions better than
  approximate models
Pretty darn good control: when are approximate solutions better than approximate models
Felipe Montealegre-Mora
Marcus Lapeyrolerie
Melissa S. Chapman
Abigail G. Keller
C. Boettiger
14
0
0
25 Aug 2023
Thinker: Learning to Plan and Act
Thinker: Learning to Plan and Act
Stephen Chung
Ivan Anokhin
David M. Krueger
LLMAG
OffRL
LRM
22
5
0
27 Jul 2023
Hybrid Control Policy for Artificial Pancreas via Ensemble Deep
  Reinforcement Learning
Hybrid Control Policy for Artificial Pancreas via Ensemble Deep Reinforcement Learning
Wenzhou Lv
Tianyu Wu
Luolin Xiong
Liang Wu
Jianglei Zhou
Yang Tang
Feng Qian
20
2
0
13 Jul 2023
Causal Reinforcement Learning: A Survey
Causal Reinforcement Learning: A Survey
Zhi-Hong Deng
Jing Jiang
Guodong Long
Chen Zhang
CML
LRM
45
13
0
04 Jul 2023
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary
  Multi-Agent Adversary Generation
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation
Lei Yuan
F. Chen
Zhongzhan Zhang
Yang Yu
AAML
44
10
0
09 May 2023
Multi-agent Continual Coordination via Progressive Task
  Contextualization
Multi-agent Continual Coordination via Progressive Task Contextualization
Lei Yuan
Lihe Li
Ziqian Zhang
Fuxiang Zhang
Cong Guan
Yang Yu
CLL
29
7
0
07 May 2023
A Survey on Offline Model-Based Reinforcement Learning
A Survey on Offline Model-Based Reinforcement Learning
Haoyang He
OffRL
16
6
0
05 May 2023
Sim2Rec: A Simulator-based Decision-making Approach to Optimize
  Real-World Long-term User Engagement in Sequential Recommender Systems
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems
Xiong-Hui Chen
Bowei He
Yangze Yu
Qingyang Li
Zhiwei Qin
Wenjie Shang
Jieping Ye
Chen-li Ma
OffRL
18
11
0
03 May 2023
Reinforcement Learning Approaches for Traffic Signal Control under
  Missing Data
Reinforcement Learning Approaches for Traffic Signal Control under Missing Data
Hao Mei
Junxian Li
Bin Shi
Hua Wei
16
9
0
21 Apr 2023
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local
  Models in Model-Based Multi-Agent Reinforcement Learning
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning
Zifan Wu
Chao Yu
C. L. P. Chen
Jianye Hao
H. Zhuo
26
9
0
31 Mar 2023
Beware of Instantaneous Dependence in Reinforcement Learning
Beware of Instantaneous Dependence in Reinforcement Learning
Zhengmao Zhu
Yu-Ren Liu
Hong Tian
Yang Yu
Kun Zhang
OffRL
31
1
0
09 Mar 2023
A Survey on Causal Reinforcement Learning
A Survey on Causal Reinforcement Learning
Yan Zeng
Ruichu Cai
Fuchun Sun
Libo Huang
Z. Hao
CML
26
27
0
10 Feb 2023
Learning Interaction-aware Motion Prediction Model for Decision-making
  in Autonomous Driving
Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous Driving
Zhiyu Huang
Haochen Liu
Jingda Wu
Wenhui Huang
Chen Lv
29
17
0
08 Feb 2023
Deep Spectral Q-learning with Application to Mobile Health
Deep Spectral Q-learning with Application to Mobile Health
Yuhe Gao
C. Shi
R. Song
14
0
0
03 Jan 2023
Off-Policy Deep Reinforcement Learning Algorithms for Handling Various
  Robotic Manipulator Tasks
Off-Policy Deep Reinforcement Learning Algorithms for Handling Various Robotic Manipulator Tasks
Altun Rzayev
Vahid Tavakol Aghaei
OffRL
19
0
0
11 Dec 2022
Efficient Learning of Voltage Control Strategies via Model-based Deep
  Reinforcement Learning
Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning
Ramij-Raja Hossain
Tianzhixi Yin
Yan Du
Renke Huang
Jie Tan
Wenhao Yu
Yuan Liu
Qiuhua Huang
38
0
0
06 Dec 2022
SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via
  Differentiable Physics-Based Simulation and Rendering
SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via Differentiable Physics-Based Simulation and Rendering
Jun Lv
Yunhai Feng
Cheng Zhang
Shu Zhao
Lin Shao
Cewu Lu
16
24
0
27 Oct 2022
Value Summation: A Novel Scoring Function for MPC-based Model-based
  Reinforcement Learning
Value Summation: A Novel Scoring Function for MPC-based Model-based Reinforcement Learning
Mehran Raisi
Amirhossein Noohian
Lucy McCutcheon
Saber Fallah
19
3
0
16 Sep 2022
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL
Benjamin Eysenbach
Alexander Khazatsky
Sergey Levine
Ruslan Salakhutdinov
OffRL
203
43
0
06 Oct 2021
Offline Reinforcement Learning with Reverse Model-based Imagination
Offline Reinforcement Learning with Reverse Model-based Imagination
Jianhao Wang
Wenzhe Li
Haozhe Jiang
Guangxiang Zhu
Siyuan Li
Chongjie Zhang
OffRL
101
59
0
01 Oct 2021
COMBO: Conservative Offline Model-Based Policy Optimization
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu
Aviral Kumar
Rafael Rafailov
Aravind Rajeswaran
Sergey Levine
Chelsea Finn
OffRL
217
413
0
16 Feb 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
132
78
0
01 Feb 2021
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