A Survey on Model-based Reinforcement Learning

A Survey on Model-based Reinforcement Learning

19 June 2022

Papers citing "A Survey on Model-based Reinforcement Learning"

16 / 16 papers shown

Title
On-line Policy Improvement using Monte-Carlo Search Gerald Tesauro Gregory R. Galperin 79 271 0 09 Jan 2025
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos Xin Liu Yaran Chen Haoran Li SSL 94 0 0 14 Dec 2024
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning Xin Liu Yaran Chen Dong Zhao 35 1 0 20 May 2024
Semi-supervised learning via DQN for log anomaly detection Yingying He Xiaobing Pei Lihong Shen 12 1 0 06 Jan 2024
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning Fan Luo Tian Xu Xingchen Cao Yang Yu OffRL 17 7 0 09 Oct 2023
Beware of Instantaneous Dependence in Reinforcement Learning Zhengmao Zhu Yu-Ren Liu Hong Tian Yang Yu Kun Zhang OffRL 20 1 0 09 Mar 2023
Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous Driving Zhiyu Huang Haochen Liu Jingda Wu Wenhui Huang Chen Lv 24 17 0 08 Feb 2023
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 28 0 0 06 Dec 2022
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 14 24 0 27 Oct 2022
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL Benjamin Eysenbach Alexander Khazatsky Sergey Levine Ruslan Salakhutdinov OffRL 191 43 0 06 Oct 2021
Offline Reinforcement Learning with Reverse Model-based Imagination Jianhao Wang Wenzhe Li Haozhe Jiang Guangxiang Zhu Siyuan Li Chongjie Zhang OffRL 96 59 0 01 Oct 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 212 413 0 16 Feb 2021
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 76 0 01 Feb 2021
Model-based Policy Optimization with Unsupervised Model Adaptation Jian Shen Han Zhao Weinan Zhang Yong Yu 30 27 0 19 Oct 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,944 0 04 May 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017