Investigating Compounding Prediction Errors in Learned Dynamics Models

17 March 2022

Papers citing "Investigating Compounding Prediction Errors in Learned Dynamics Models"

25 / 25 papers shown

Title
PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation Wenxuan Li Hang Zhao Zhiyuan Yu Yu Du Qin Zou Ruizhen Hu K. Xu SSL 80 1 0 23 Apr 2025
Learning with Imperfect Models: When Multi-step Prediction Mitigates Compounding Error Anne Somalwar Bruce D. Lee George J. Pappas Nikolai Matni 38 0 0 02 Apr 2025
Extendable Long-Horizon Planning via Hierarchical Multiscale Diffusion Chang Chen Hany Hamed Doojin Baek Taegu Kang Yoshua Bengio Sungjin Ahn 54 0 0 25 Mar 2025
Learning with Expert Abstractions for Efficient Multi-Task Continuous Control Jeff Jewett Sandhya Saisubramanian OffRL 48 0 0 19 Mar 2025
Temporal Difference Flows Jesse Farebrother Matteo Pirotta Andrea Tirinzoni Rémi Munos A. Lazaric Ahmed Touati AI4TS AIFin 57 0 0 12 Mar 2025
Implicit Search via Discrete Diffusion: A Study on Chess Jiacheng Ye Zhenyu Wu Jiahui Gao Zhiyong Wu Xin Jiang Zhiyu Li Lingpeng Kong DiffM 50 2 0 27 Feb 2025
Echoes of Discord: Forecasting Hater Reactions to Counterspeech Xiaoying Song Sharon Lisseth Perez Xinchen Yu Eduardo Blanco Lingzi Hong 175 0 0 17 Feb 2025
Diffusion Model Predictive Control Guangyao Zhou Sivaramakrishnan Swaminathan Rajkumar Vasudeva Raju J. S. Guntupalli Wolfgang Lehrach Joseph Ortiz Antoine Dedieu Miguel Lázaro-Gredilla Kevin P. Murphy 31 6 0 07 Oct 2024
A New View on Planning in Online Reinforcement Learning Kevin Roice Parham Mohammad Panahi Scott M. Jordan Adam White Martha White OffRL 25 0 0 03 Jun 2024
A Distributional Analogue to the Successor Representation Harley Wiltzer Jesse Farebrother Arthur Gretton Yunhao Tang André Barreto Will Dabney Marc G. Bellemare Mark Rowland 46 5 0 13 Feb 2024
Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning Zihan Ding Amy Zhang Yuandong Tian Qinqing Zheng OffRL 47 17 0 05 Feb 2024
A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning Abdelhakim Benechehab Albert Thomas Giuseppe Paolo Maurizio Filippone Balázs Kégl NoLa 28 1 0 05 Feb 2024
Deep Learning Based Simulators for the Phosphorus Removal Process Control in Wastewater Treatment via Deep Reinforcement Learning Algorithms Esmaeel Mohammadi Mikkel Stokholm-Bjerregaard A. A. Hansen Per Halkjaer Nielsen D. O. Arroyo Petar Durdevic AI4CE 13 12 0 23 Jan 2024
World Models via Policy-Guided Trajectory Diffusion Marc Rigter Jun Yamada Ingmar Posner 34 19 0 13 Dec 2023
The Alignment Ceiling: Objective Mismatch in Reinforcement Learning from Human Feedback Nathan Lambert Roberto Calandra ALM 29 32 0 31 Oct 2023
A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning Ran Wei Nathan Lambert Anthony D. McDonald Alfredo Garcia Roberto Calandra 33 6 0 10 Oct 2023
Multi-timestep models for Model-based Reinforcement Learning Abdelhakim Benechehab Giuseppe Paolo Albert Thomas Maurizio Filippone Balázs Kégl OffRL 25 0 0 09 Oct 2023
What model does MuZero learn? Jinke He Thomas M. Moerland F. Oliehoek 33 4 0 01 Jun 2023
Self-Supervised Reinforcement Learning that Transfers using Random Features Boyuan Chen Chuning Zhu Pulkit Agrawal Kaipeng Zhang Abhishek Gupta OffRL SSL 27 6 0 26 May 2023
TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching Yecheng Jason Ma K. Sivakumar Jason Yan Osbert Bastani Dinesh Jayaraman OffRL MU 29 6 0 22 May 2023
Stable Motion Primitives via Imitation and Contrastive Learning Rodrigo Pérez-Dattari Jens Kober 29 8 0 20 Feb 2023
Reinforcement Learning in System Identification J. Antonio Martin H Oscar Fernández Sergio Pérez Anas Belfadil C. Ibáñez-Llano Freddy José Perozo Javier Valle Javier Arechalde Pelaz 17 0 0 14 Dec 2022
Goal-Space Planning with Subgoal Models Chun-Ping Lo Kevin Roice Parham Mohammad Panahi Scott M. Jordan Adam White Gábor Mihucz Farzane Aminmansour Martha White 24 5 0 06 Jun 2022
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 139 424 0 10 Mar 2020
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 157 408 0 25 Sep 2019