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
Physics-informed neural networks via stochastic Hamiltonian dynamics learning Minh Nguyen Chandrajit Bajaj 38 1 0 15 Nov 2021
ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal Control Xingshuai Huang Di Wu M. Jenkin Benoit Boulet 67 15 0 15 Nov 2021
Procedural Generalization by Planning with Self-Supervised World Models Ankesh Anand Jacob Walker Yazhe Li Eszter Vértes Julian Schrittwieser Sherjil Ozair T. Weber Jessica B. Hamrick 80 31 0 02 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 102 5 0 25 Oct 2021
Robustness and sample complexity of model-based MARL for general-sum Markov games Jayakumar Subramanian Amit Sinha Aditya Mahajan 83 8 0 05 Oct 2021
Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires Bryan Lim Luca Grillotti Lorenzo Bernasconi Antoine Cully 120 28 0 16 Sep 2021
safe-control-gym: a Unified Benchmark Suite for Safe Learning-based Control and Reinforcement Learning in Robotics Zhaocong Yuan Adam W. Hall Siqi Zhou Lukas Brunke Melissa Greeff Jacopo Panerati Angela P. Schoellig OffRL 166 55 0 13 Sep 2021
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation Ajay Mandlekar Danfei Xu J. Wong Soroush Nasiriany Chen Wang Rohun Kulkarni Li Fei-Fei Silvio Savarese Yuke Zhu Roberto Martín-Martín OffRL 291 519 0 06 Aug 2021
Policy Gradients Incorporating the Future David Venuto Elaine Lau Doina Precup Ofir Nachum OffRL 97 9 0 04 Aug 2021
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control Xin-Yang Liu Jian-Xun Wang AI4CE 103 40 0 31 Jul 2021
Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose? Balázs Kégl Gabriel Hurtado Albert Thomas 73 12 0 24 Jul 2021
High-Accuracy Model-Based Reinforcement Learning, a Survey Aske Plaat W. Kosters Mike Preuss OffRL 75 37 0 17 Jul 2021
PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration Yuda Song Wen Sun 112 21 0 15 Jul 2021
Safe Exploration by Solving Early Terminated MDP Hao Sun Ziping Xu Meng Fang Zhenghao Peng Jiadong Guo Bo Dai Bolei Zhou 47 17 0 09 Jul 2021
Model-Advantage and Value-Aware Models for Model-Based Reinforcement Learning: Bridging the Gap in Theory and Practice Nirbhay Modhe Harish Kamath Dhruv Batra Ashwin Kalyan OffRL 41 2 0 26 Jun 2021
Non-Parametric Neuro-Adaptive Control Subject to Task Specifications Christos K. Verginis Zhe Xu Ufuk Topcu 57 4 0 25 Jun 2021
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning Mingde Zhao Zhen Liu Sitao Luan Shuyuan Zhang Doina Precup Yoshua Bengio 123 37 0 03 Jun 2021
What Matters for Adversarial Imitation Learning? Manu Orsini Anton Raichuk Léonard Hussenot Damien Vincent Robert Dadashi Sertan Girgin Matthieu Geist Olivier Bachem Olivier Pietquin Marcin Andrychowicz 114 77 0 01 Jun 2021
Safe Model-based Off-policy Reinforcement Learning for Eco-Driving in Connected and Automated Hybrid Electric Vehicles Zhaoxuan Zhu Nicola Pivaro Shobhit Gupta Abhishek Gupta Marcello Canova OffRL 63 36 0 25 May 2021
Learning Modular Robot Control Policies Julian Whitman Matthew Travers Howie Choset 64 44 0 20 May 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 111 22 0 13 May 2021
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts Weinan Zhang Xihuai Wang Jian Shen Ming Zhou 96 36 0 07 May 2021
Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization Michael Ruogu Zhang T. Paine Ofir Nachum Cosmin Paduraru George Tucker Ziyun Wang Mohammad Norouzi OffRL 86 49 0 28 Apr 2021
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning Luis Pineda Brandon Amos Amy Zhang Nathan Lambert Roberto Calandra OffRL 84 47 0 20 Apr 2021
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning Wenzhen Huang Qiyue Yin Junge Zhang Kaiqi Huang 48 3 0 09 Apr 2021
Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning Hiroki Furuta Tadashi Kozuno T. Matsushima Y. Matsuo S. Gu 120 14 0 31 Mar 2021
Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow John Mcleod Hrvoje Stojić Vincent Adam Dongho Kim Jordi Grau-Moya Peter Vrancx Felix Leibfried OffRL 46 2 0 26 Mar 2021
Discriminator Augmented Model-Based Reinforcement Learning Behzad Haghgoo Allan Zhou Archit Sharma Chelsea Finn OffRL 67 3 0 24 Mar 2021
Deep reinforcement learning in medical imaging: A literature review S. Kevin Zhou Hoang Ngan Le Khoa Luu Hien V Nguyen N. Ayache LM&MA OffRL MedIm 77 149 0 05 Mar 2021
MAMBPO: Sample-efficient multi-robot reinforcement learning using learned world models Daniel Willemsen M. Coppola Guido de Croon 72 31 0 05 Mar 2021
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning Bangnig Zhang Raghunandan Rajan Luis Pineda Nathan Lambert André Biedenkapp Kurtland Chua Frank Hutter Roberto Calandra 121 103 0 26 Feb 2021
MUSBO: Model-based Uncertainty Regularized and Sample Efficient Batch Optimization for Deployment Constrained Reinforcement Learning DiJia Su Jason D. Lee John M. Mulvey H. Vincent Poor OffRL 54 6 0 23 Feb 2021
MobILE: Model-Based Imitation Learning From Observation Alone Rahul Kidambi Jonathan D. Chang Wen Sun 73 40 0 22 Feb 2021
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators Anish Agarwal Abdullah Alomar Varkey Alumootil Devavrat Shah Dennis Shen Zhi Xu Cindy Yang OffRL 76 18 0 13 Feb 2021
A Tutorial on Sparse Gaussian Processes and Variational Inference Felix Leibfried Vincent Dutordoir S. T. John N. Durrande GP 127 52 0 27 Dec 2020
Model-free and Bayesian Ensembling Model-based Deep Reinforcement Learning for Particle Accelerator Control Demonstrated on the FERMI FEL Simon Hirlaender N. Bruchon 52 23 0 17 Dec 2020
Planning from Pixels using Inverse Dynamics Models Keiran Paster Sheila A. McIlraith Jimmy Ba BDL 72 41 0 04 Dec 2020
UniCon: Universal Neural Controller For Physics-based Character Motion Tingwu Wang Yunrong Guo Maria Shugrina Sanja Fidler 80 55 0 30 Nov 2020
Minimax Sample Complexity for Turn-based Stochastic Game Qiwen Cui Lin F. Yang 77 23 0 29 Nov 2020
Latent Skill Planning for Exploration and Transfer Kevin Xie Homanga Bharadhwaj Danijar Hafner Animesh Garg Florian Shkurti 95 20 0 27 Nov 2020
A survey of benchmarking frameworks for reinforcement learning B. Stapelberg K. Malan OffRL 39 3 0 27 Nov 2020
MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty A. Guha Anuradha M. Annaswamy 56 12 0 20 Nov 2020
Counterfactual Credit Assignment in Model-Free Reinforcement Learning Thomas Mesnard T. Weber Fabio Viola S. Thakoor Alaa Saade ... A. Guez Éric Moulines Marcus Hutter Lars Buesing Rémi Munos CML OffRL 108 58 0 18 Nov 2020
Explaining Conditions for Reinforcement Learning Behaviors from Real and Imagined Data Aastha Acharya Rebecca L. Russell Nisar R. Ahmed OffRL 48 4 0 17 Nov 2020
On the role of planning in model-based deep reinforcement learning Jessica B. Hamrick A. Friesen Feryal M. P. Behbahani A. Guez Fabio Viola Sims Witherspoon Thomas W. Anthony Lars Buesing Petar Velickovic T. Weber OffRL 103 67 0 08 Nov 2020
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani Ekram Hossain 211 245 0 06 Nov 2020
Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning M. Lutter Johannes Silberbauer Joe Watson Jan Peters OffRL 90 34 0 03 Nov 2020
Affordance as general value function: A computational model D. Graves Johannes Günther Jun Luo AI4CE 39 6 0 27 Oct 2020
Planning with Exploration: Addressing Dynamics Bottleneck in Model-based Reinforcement Learning Xiyao Wang Junge Zhang Wenzhen Huang Qiyue Yin 19 0 0 24 Oct 2020
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning Guangxiang Zhu Minghao Zhang Honglak Lee Chongjie Zhang OffRL 132 18 0 23 Oct 2020