When to Trust Your Model: Model-Based Policy Optimization

19 June 2019

Papers citing "When to Trust Your Model: Model-Based Policy Optimization"

42 / 242 papers shown

Title
A Tutorial on Sparse Gaussian Processes and Variational Inference Felix Leibfried Vincent Dutordoir S. T. John N. Durrande GP 42 49 0 27 Dec 2020
Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning Nathan Lambert Albert Wilcox Howard Zhang K. Pister Roberto Calandra 25 33 0 16 Dec 2020
Model-based Reinforcement Learning for Continuous Control with Posterior Sampling Ying Fan Yifei Ming 33 17 0 20 Nov 2020
Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning Jiajun Fan He Ba Xian Guo Jianye Hao OffRL 19 5 0 13 Nov 2020
Learning World Transition Model for Socially Aware Robot Navigation Yuxiang Cui Haodong Zhang Yue Wang R. Xiong 28 17 0 08 Nov 2020
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani Ekram Hossain 35 237 0 06 Nov 2020
Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning M. Lutter Johannes Silberbauer Joe Watson Jan Peters OffRL 29 33 0 03 Nov 2020
Generative Temporal Difference Learning for Infinite-Horizon Prediction Michael Janner Igor Mordatch Sergey Levine AI4CE 18 34 0 27 Oct 2020
Model-based Policy Optimization with Unsupervised Model Adaptation Jian Shen Han Zhao Weinan Zhang Yong Yu 32 27 0 19 Oct 2020
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting Yuan Yin Vincent Le Guen Jérémie Donà Emmanuel de Bézenac Ibrahim Ayed Nicolas Thome Patrick Gallinari AI4CE PINN 33 132 0 09 Oct 2020
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning Junjie Wang Qichao Zhang Dongbin Zhao Mengchen Zhao Jianye Hao OffRL 19 5 0 21 Sep 2020
Nonholonomic Yaw Control of an Underactuated Flying Robot with Model-based Reinforcement Learning Nathan Lambert Craig B. Schindler Daniel S. Drew K. Pister 14 6 0 02 Sep 2020
Learning Off-Policy with Online Planning Harshit S. Sikchi Wenxuan Zhou David Held OffRL 37 46 0 23 Aug 2020
Predictive Information Accelerates Learning in RL Kuang-Huei Lee Ian S. Fischer Anthony Z. Liu Yijie Guo Honglak Lee John F. Canny S. Guadarrama 23 72 0 24 Jul 2020
Counterfactual Data Augmentation using Locally Factored Dynamics Silviu Pitis Elliot Creager Animesh Garg BDL OffRL 26 85 0 06 Jul 2020
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs Jianzhun Du Joseph D. Futoma Finale Doshi-Velez 30 49 0 29 Jun 2020
Control-Aware Representations for Model-based Reinforcement Learning Brandon Cui Yinlam Chow Mohammad Ghavamzadeh BDL 18 13 0 24 Jun 2020
Model Embedding Model-Based Reinforcement Learning Xiao Tan Chao Qu Junwu Xiong James Y. Zhang OffRL 16 0 0 16 Jun 2020
Model-based Adversarial Meta-Reinforcement Learning Zichuan Lin G. Thomas Guangwen Yang Tengyu Ma OOD 27 52 0 16 Jun 2020
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning Sebastian Curi Felix Berkenkamp Andreas Krause 33 82 0 15 Jun 2020
Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling Russell Mendonca Xinyang Geng Chelsea Finn Sergey Levine OOD OffRL 32 41 0 12 Jun 2020
SAMBA: Safe Model-Based & Active Reinforcement Learning Alexander I. Cowen-Rivers Daniel Palenicek Vincent Moens Mohammed Abdullah Aivar Sootla Jun Wang Haitham Bou-Ammar 23 44 0 12 Jun 2020
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study Marcin Andrychowicz Anton Raichuk Piotr Stańczyk Manu Orsini Sertan Girgin ... M. Geist Olivier Pietquin Marcin Michalski Sylvain Gelly Olivier Bachem OffRL 31 214 0 10 Jun 2020
Variational Model-based Policy Optimization Yinlam Chow Brandon Cui Moonkyung Ryu Mohammad Ghavamzadeh OffRL 13 12 0 09 Jun 2020
Maximum Entropy Model Rollouts: Fast Model Based Policy Optimization without Compounding Errors Chi Zhang S. Kuppannagari Viktor Prasanna 22 4 0 08 Jun 2020
Model-Augmented Actor-Critic: Backpropagating through Paths I. Clavera Yao Fu Pieter Abbeel 44 87 0 16 May 2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning Kimin Lee Younggyo Seo Seunghyun Lee Honglak Lee Jinwoo Shin 43 124 0 14 May 2020
Delay-Aware Model-Based Reinforcement Learning for Continuous Control Baiming Chen Mengdi Xu Liang-Sheng Li Ding Zhao OffRL 39 63 0 11 May 2020
Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue Task Katya Kudashkina Valliappa Chockalingam Graham W. Taylor Michael Bowling OffRL LLMAG 33 2 0 28 Apr 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi Samuel Stanton Pavel Izmailov A. Wilson 30 317 0 25 Feb 2020
Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha P. Xu Zhenyu Tan Sergey Levine Jie Tan 29 169 0 20 Feb 2020
Causally Correct Partial Models for Reinforcement Learning Danilo Jimenez Rezende Ivo Danihelka George Papamakarios Nan Rosemary Ke Ray Jiang ... Jane X. Wang Jovana Mitrović F. Besse Ioannis Antonoglou Lars Buesing AI4TS 24 32 0 07 Feb 2020
Ready Policy One: World Building Through Active Learning Philip J. Ball Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts OffRL 32 49 0 07 Feb 2020
Learning Predictive Models From Observation and Interaction Karl Schmeckpeper Annie Xie Oleh Rybkin Stephen Tian Kostas Daniilidis Sergey Levine Chelsea Finn DRL 33 60 0 30 Dec 2019
Direct and indirect reinforcement learning Yang Guan Shengbo Eben Li Jingliang Duan Jie Li Yangang Ren Qi Sun B. Cheng OffRL 38 34 0 23 Dec 2019
Adaptive Online Planning for Continual Lifelong Learning Kevin Lu Igor Mordatch Pieter Abbeel OffRL OnRL CLL 11 15 0 03 Dec 2019
Asynchronous Methods for Model-Based Reinforcement Learning Yunzhi Zhang I. Clavera Bo-Yu Tsai Pieter Abbeel OffRL 16 27 0 28 Oct 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 34 54 0 27 Sep 2019
Gradient-Aware Model-based Policy Search P. DÓro Alberto Maria Metelli Andrea Tirinzoni Matteo Papini Marcello Restelli 29 34 0 09 Sep 2019
Towards Model-based Reinforcement Learning for Industry-near Environments Per-Arne Andersen M. G. Olsen Ole-Christoffer Granmo OffRL DRL 22 4 0 27 Jul 2019
Data Efficient Reinforcement Learning for Legged Robots Yuxiang Yang Ken Caluwaerts Atil Iscen Tingnan Zhang Jie Tan Vikas Sindhwani 28 139 0 08 Jul 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 33 372 0 01 Jul 2019