Model-based Reinforcement Learning: A Survey

Model-based Reinforcement Learning: A Survey

30 June 2020

Thomas M. Moerland

Catholijn M. Jonker

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

18 / 18 papers shown

Title
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 Yuqing Yang Xiao Lin Zhipeng Zhao SSL 89 9 0 28 Jan 2025
On-line Policy Improvement using Monte-Carlo Search Gerald Tesauro Gregory R. Galperin 92 270 0 09 Jan 2025
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 24 2 0 08 Nov 2024
Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control Zihao Sheng Zilin Huang Sikai Chen 39 8 0 30 Aug 2024
Exploiting Symmetry in Dynamics for Model-Based Reinforcement Learning with Asymmetric Rewards Yasin Sonmez Neelay Junnarkar Murat Arcak 37 1 0 27 Mar 2024
Meta-operators for Enabling Parallel Planning Using Deep Reinforcement Learning Ángel Aso-Mollar Eva Onaindia OffRL 24 0 0 13 Mar 2024
Virtual Action Actor-Critic Framework for Exploration (Student Abstract) Bumgeun Park Taeyoung Kim Quoc-Vinh Lai-Dang Dongsoo Har 19 1 0 06 Nov 2023
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making Carlos Núnez-Molina Pablo Mesejo Juan Fernández-Olivares 30 3 0 20 Apr 2023
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning Aravind Venugopal Stephanie Milani Fei Fang Balaraman Ravindran OffRL 21 0 0 12 Apr 2023
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer Hannes Eriksson D. Basu Tommy Tram Mina Alibeigi Christos Dimitrakakis 21 1 0 18 Feb 2023
Selective Uncertainty Propagation in Offline RL Sanath Kumar Krishnamurthy Shrey Modi Tanmay Gangwani S. Katariya B. Kveton A. Rangi OffRL 61 0 0 01 Feb 2023
Sensor Control for Information Gain in Dynamic, Sparse and Partially Observed Environments J. Burns A. Sundaresan Pedro Sequeira Vidyasagar Sadhu 27 0 0 03 Nov 2022
SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning Jun Lv Qiaojun Yu Lin Shao Wenhai Liu Wenqiang Xu Cewu Lu 33 24 0 29 Nov 2021
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control Xin-Yang Liu Jian-Xun Wang AI4CE 28 38 0 31 Jul 2021
GEM: Group Enhanced Model for Learning Dynamical Control Systems Philippe Hansen-Estruch Wenling Shang Lerrel Pinto Pieter Abbeel Stas Tiomkin AI4CE 33 2 0 07 Apr 2021
Beyond the One Step Greedy Approach in Reinforcement Learning Yonathan Efroni Gal Dalal B. Scherrer Shie Mannor OffRL 56 48 0 10 Feb 2018
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 241 438 0 01 Dec 2016
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 280 1,401 0 01 Dec 2016