Benchmarking Model-Based Reinforcement Learning

3 July 2019

Matthew Shunshi Zhang

Guodong Zhang

Pieter Abbeel

Jimmy Ba

OffRL

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Papers citing "Benchmarking Model-Based Reinforcement Learning"

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Title
Look Before Leap: Look-Ahead Planning with Uncertainty in Reinforcement Learning Yongshuai Liu Xin Liu 95 1 0 26 Mar 2025
Sample-Efficient Reinforcement Learning of Koopman eNMPC Daniel Mayfrank M. Velioglu Alexander Mitsos Manuel Dahmen OffRL 49 0 0 24 Mar 2025
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps Linfeng Zhao Lawson L. S. Wong 84 1 0 16 Dec 2024
DPO: A Differential and Pointwise Control Approach to Reinforcement Learning Minh Nguyen Chandrajit Bajaj 25 0 0 24 Apr 2024
Bridging State and History Representations: Understanding Self-Predictive RL Tianwei Ni Benjamin Eysenbach Erfan Seyedsalehi Michel Ma Clement Gehring Aditya Mahajan Pierre-Luc Bacon AI4TS AI4CE 24 21 0 17 Jan 2024
Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning Hongming Zhang Tongzheng Ren Chenjun Xiao Dale Schuurmans Bo Dai 45 4 0 20 Nov 2023
Tree Search in DAG Space with Model-based Reinforcement Learning for Causal Discovery Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi CML 49 2 0 20 Oct 2023
CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning Liyiming Ke Yunchu Zhang Abhay Deshpande S. Srinivasa Abhishek Gupta OffRL 27 12 0 19 Oct 2023
Practical Probabilistic Model-based Deep Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory Sampling Wenjun Huang Yunduan Cui Huiyun Li Xin Wu MU 27 0 0 20 Sep 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
Neural Laplace Control for Continuous-time Delayed Systems Samuel Holt Alihan Huyuk Zhaozhi Qian Hao Sun M. Schaar OffRL 34 10 0 24 Feb 2023
Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs Stefan Werner Sebastian Peitz 41 9 0 14 Feb 2023
Planning Multiple Epidemic Interventions with Reinforcement Learning Anh Mai Nikunj Gupta A. Abouzeid Dennis Shasha 35 3 0 30 Jan 2023
On Approximating the Dynamic Response of Synchronous Generators via Operator Learning: A Step Towards Building Deep Operator-based Power Grid Simulators Christian Moya Guang Lin Tianqiao Zhao Meng Yue 32 8 0 29 Jan 2023
Hint assisted reinforcement learning: an application in radio astronomy S. Yatawatta 30 1 0 10 Jan 2023
Near-optimal Policy Identification in Active Reinforcement Learning Xiang Li Viraj Mehta Johannes Kirschner I. Char Willie Neiswanger J. Schneider Andreas Krause Ilija Bogunovic OffRL 43 6 0 19 Dec 2022
A Simple Decentralized Cross-Entropy Method Zichen Zhang Jun Jin Martin Jägersand Jun Luo Dale Schuurmans 15 8 0 16 Dec 2022
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 43 0 0 06 Dec 2022
CT-DQN: Control-Tutored Deep Reinforcement Learning F. D. Lellis M. Coraggio G. Russo Mirco Musolesi M. D. Bernardo 24 4 0 02 Dec 2022
Task-Driven Hybrid Model Reduction for Dexterous Manipulation Wanxin Jin Michael Posa 35 15 0 30 Nov 2022
Efficient Exploration using Model-Based Quality-Diversity with Gradients Bryan Lim Manon Flageat Antoine Cully 23 4 0 22 Nov 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 18 24 0 27 Oct 2022
Model-based Lifelong Reinforcement Learning with Bayesian Exploration Haotian Fu Shangqun Yu Michael Littman George Konidaris BDL OffRL 26 12 0 20 Oct 2022
When to Update Your Model: Constrained Model-based Reinforcement Learning Tianying Ji Yu-Juan Luo Gang Hua Mingxuan Jing Fengxiang He Wen-bing Huang 24 18 0 15 Oct 2022
Deep Model Predictive Variable Impedance Control Akhil S. Anand Fares J. Abu-Dakka J. Gravdahl 26 11 0 20 Sep 2022
Variational Inference for Model-Free and Model-Based Reinforcement Learning Felix Leibfried OffRL 23 0 0 04 Sep 2022
Learning Task Automata for Reinforcement Learning using Hidden Markov Models Alessandro Abate Y. Almulla James Fox David Hyland Michael Wooldridge OffRL 30 6 0 25 Aug 2022
Spectral Decomposition Representation for Reinforcement Learning Tongzheng Ren Tianjun Zhang Lisa Lee Joseph E. Gonzalez Dale Schuurmans Bo Dai OffRL 40 27 0 19 Aug 2022
Backward Imitation and Forward Reinforcement Learning via Bi-directional Model Rollouts Yuxin Pan Fangzhen Lin OffRL 25 3 0 04 Aug 2022
Making Linear MDPs Practical via Contrastive Representation Learning Tianjun Zhang Tongzheng Ren Mengjiao Yang Joseph E. Gonzalez Dale Schuurmans Bo Dai 25 44 0 14 Jul 2022
A Survey on Model-based Reinforcement Learning Fan Luo Tian Xu Hang Lai Xiong-Hui Chen Weinan Zhang Yang Yu OffRL LRM 53 101 0 19 Jun 2022
Towards biologically plausible Dreaming and Planning in recurrent spiking networks C. Capone P. Paolucci CLL 31 7 0 20 May 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 202 637 0 20 May 2022
Investigating Compounding Prediction Errors in Learned Dynamics Models Nathan Lambert K. Pister Roberto Calandra AI4CE 22 27 0 17 Mar 2022
Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty Rel Guzman Rafael Oliveira Fabio Ramos 22 3 0 01 Mar 2022
Deep Koopman Operator with Control for Nonlinear Systems Hao-bin Shi Max Q.-H. Meng 17 75 0 16 Feb 2022
Physical Design using Differentiable Learned Simulators Kelsey R. Allen Tatiana López-Guevara Kimberly L. Stachenfeld Alvaro Sanchez-Gonzalez Peter W. Battaglia Jessica B. Hamrick Tobias Pfaff AI4CE 29 42 0 01 Feb 2022
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation Vincent Mai Kaustubh Mani Liam Paull 38 34 0 05 Jan 2022
Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic Zhihai Wang Jie Wang Qi Zhou Bin Li Houqiang Li 27 30 0 16 Dec 2021
Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control F. D. Lellis M. Coraggio G. Russo Mirco Musolesi M. D. Bernardo 21 7 0 11 Dec 2021
ED2: Environment Dynamics Decomposition World Models for Continuous Control Jianye Hao Yifu Yuan Cong Wang Zhen Wang OffRL 16 1 0 06 Dec 2021
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
A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning Tongzheng Ren Tianjun Zhang Csaba Szepesvári Bo Dai 27 19 0 22 Nov 2021
Physics-informed neural networks via stochastic Hamiltonian dynamics learning Minh Nguyen Chandrajit Bajaj 21 1 0 15 Nov 2021
ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal Control Xingshuai Huang Di Wu M. Jenkin Benoit Boulet 13 15 0 15 Nov 2021
Which Model to Trust: Assessing the Influence of Models on the Performance of Reinforcement Learning Algorithms for Continuous Control Tasks Giacomo Arcieri David Wölfle Eleni Chatzi OffRL 27 5 0 25 Oct 2021
Robustness and sample complexity of model-based MARL for general-sum Markov games Jayakumar Subramanian Amit Sinha Aditya Mahajan 27 8 0 05 Oct 2021
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control Xin-Yang Liu Jian-Xun Wang AI4CE 31 38 0 31 Jul 2021
What Matters for Adversarial Imitation Learning? Manu Orsini Anton Raichuk Léonard Hussenot Damien Vincent Robert Dadashi Sertan Girgin M. Geist Olivier Bachem Olivier Pietquin Marcin Andrychowicz 52 77 0 01 Jun 2021
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks Menghui Zhu Minghuan Liu Jian Shen Zhicheng Zhang Sheng Chen Weinan Zhang Deheng Ye Yong Yu Qiang Fu Wei Yang 49 22 0 13 May 2021