Exploring Model-based Planning with Policy Networks

20 June 2019

Jimmy Ba

Papers citing "Exploring Model-based Planning with Policy Networks"

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Title
Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning Patrick Yin Tyler Westenbroek Simran Bagaria Kevin Huang Ching-an Cheng Andrey Kobolov Abhishek Gupta 85 2 0 04 Feb 2025
Learning Multiple Initial Solutions to Optimization Problems Elad Sharony Heng Yang Tong Che Marco Pavone Shie Mannor Peter Karkus 41 2 0 04 Nov 2024
Machine Learning Meets Advanced Robotic Manipulation Saeid Nahavandi R. Alizadehsani D. Nahavandi Chee Peng Lim Kevin Kelly Fernando Bello 29 17 0 22 Sep 2023
DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation Hanqing Wang Wei Liang Luc Van Gool Wenguan Wang LM&Ro 40 28 0 14 Aug 2023
Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs Stefan Werner Sebastian Peitz 43 9 0 14 Feb 2023
A Simple Decentralized Cross-Entropy Method Zichen Zhang Jun Jin Martin Jägersand Jun Luo Dale Schuurmans 18 8 0 16 Dec 2022
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization Qiqi Duan Guochen Zhou Chang Shao Zhuowei Wang Mingyang Feng Yuwei Huang Yajing Tan Yijun Yang Qi Zhao Yuhui Shi 39 5 0 12 Dec 2022
Learning to Optimize in Model Predictive Control Jacob Sacks Byron Boots 37 22 0 05 Dec 2022
Learning Sampling Distributions for Model Predictive Control Jacob Sacks Byron Boots 18 21 0 05 Dec 2022
Variational Inference for Model-Free and Model-Based Reinforcement Learning Felix Leibfried OffRL 23 0 0 04 Sep 2022
Efficient Planning in a Compact Latent Action Space Zhengyao Jiang Tianjun Zhang Michael Janner Yueying Li Tim Rocktaschel Edward Grefenstette Yuandong Tian OffRL 24 37 0 22 Aug 2022
Skill-based Model-based Reinforcement Learning Lu Shi Joseph J. Lim Youngwoon Lee 37 45 0 15 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
Integrating Symmetry into Differentiable Planning with Steerable Convolutions Linfeng Zhao Xu Zhu Lingzhi Kong Robin Walters Lawson L. S. Wong 26 7 0 08 Jun 2022
Temporal Difference Learning for Model Predictive Control Nicklas Hansen Xiaolong Wang H. Su PINN MU 41 226 0 09 Mar 2022
Inference of Affordances and Active Motor Control in Simulated Agents Fedor Scholz Christian Gumbsch S. Otte Martin Volker Butz AI4CE 37 5 0 23 Feb 2022
Reinforcement Learning from Demonstrations by Novel Interactive Expert and Application to Automatic Berthing Control Systems for Unmanned Surface Vessel Haoran Zhang Chenkun Yin Yanxin Zhang S. Jin Zhenxuan Li OffRL 21 3 0 23 Feb 2022
Deconstructing the Inductive Biases of Hamiltonian Neural Networks Nate Gruver Marc Finzi Samuel Stanton A. Wilson AI4CE 26 40 0 10 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 78 43 0 01 Feb 2022
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning Haichao Zhang Wei Xu Haonan Yu 38 10 0 24 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
CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning Kevin Huang Sahin Lale Ugo Rosolia Yuanyuan Shi Anima Anandkumar 21 8 0 14 Dec 2021
Residual Pathway Priors for Soft Equivariance Constraints Marc Finzi Gregory W. Benton A. Wilson BDL UQCV 24 54 0 02 Dec 2021
Learning Pessimism for Robust and Efficient Off-Policy Reinforcement Learning Edoardo Cetin Oya Celiktutan OffRL 47 17 0 07 Oct 2021
Evaluating model-based planning and planner amortization for continuous control Arunkumar Byravan Leonard Hasenclever Piotr Trochim M. Berk Mirza Alessandro Davide Ialongo ... Jost Tobias Springenberg A. Abdolmaleki N. Heess J. Merel Martin Riedmiller 55 17 0 07 Oct 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner Qiyang Li Sergey Levine OffRL 71 651 0 03 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
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning Luis Pineda Brandon Amos Amy Zhang Nathan Lambert Roberto Calandra OffRL 33 46 0 20 Apr 2021
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills Yevgen Chebotar Karol Hausman Yao Lu Ted Xiao Dmitry Kalashnikov ... A. Irpan Benjamin Eysenbach Ryan Julian Chelsea Finn Sergey Levine SSL OffRL 37 146 0 15 Apr 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 21 2 0 26 Mar 2021
Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning A. S. Morgan Daljeet Nandha Georgia Chalvatzaki Carlo DÉramo A. Dollar Jan Peters 48 43 0 25 Mar 2021
Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians B. Brito Michael Everett Jonathan P. How Javier Alonso-Mora 83 57 0 25 Feb 2021
Model-Invariant State Abstractions for Model-Based Reinforcement Learning Manan Tomar Amy Zhang Roberto Calandra Matthew E. Taylor Joelle Pineau 24 24 0 19 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 18 18 0 13 Feb 2021
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
Model-based Policy Optimization with Unsupervised Model Adaptation Jian Shen Han Zhao Weinan Zhang Yong Yu 37 27 0 19 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 53 823 0 05 Oct 2020
Learning Off-Policy with Online Planning Harshit S. Sikchi Wenxuan Zhou David Held OffRL 37 46 0 23 Aug 2020
Sample-efficient Cross-Entropy Method for Real-time Planning Cristina Pinneri Shambhuraj Sawant Sebastian Blaes Jan Achterhold Joerg Stueckler Michal Rolínek Georg Martius 37 98 0 14 Aug 2020
Control as Hybrid Inference Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley 21 9 0 11 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning Kimin Lee Michael Laskin A. Srinivas Pieter Abbeel OffRL 25 199 0 09 Jul 2020
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs Jianzhun Du Joseph D. Futoma Finale Doshi-Velez 30 50 0 29 Jun 2020
Information Theoretic Regret Bounds for Online Nonlinear Control Sham Kakade A. Krishnamurthy Kendall Lowrey Motoya Ohnishi Wen Sun 38 117 0 22 Jun 2020
Model Embedding Model-Based Reinforcement Learning Xiao Tan Chao Qu Junwu Xiong James Y. Zhang OffRL 18 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 35 82 0 15 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
Delay-Aware Model-Based Reinforcement Learning for Continuous Control Baiming Chen Mengdi Xu Liang-Sheng Li Ding Zhao OffRL 42 63 0 11 May 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 20 648 0 30 Apr 2020