Model-Ensemble Trust-Region Policy Optimization

28 February 2018

Pieter Abbeel

Papers citing "Model-Ensemble Trust-Region Policy Optimization"

50 / 119 papers shown

Title
Using Human-Guided Causal Knowledge for More Generalized Robot Task Planning Semir Tatlidil Yanqi Liu Emily Sheetz R. I. Bahar Steven Sloman Brown University 24 0 0 09 Oct 2021
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks Robert McCarthy Qiang Wang S. Redmond OffRL 32 15 0 05 Oct 2021
Dropout Q-Functions for Doubly Efficient Reinforcement Learning Takuya Hiraoka Takahisa Imagawa Taisei Hashimoto Takashi Onishi Yoshimasa Tsuruoka 13 105 0 05 Oct 2021
Learning Dynamics Models for Model Predictive Agents M. Lutter Leonard Hasenclever Arunkumar Byravan Gabriel Dulac-Arnold Piotr Trochim N. Heess J. Merel Yuval Tassa AI4CE 57 26 0 29 Sep 2021
MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning Qiang He Yuxun Qu Chen Gong Xinwen Hou OffRL 22 10 0 22 Sep 2021
Dropout's Dream Land: Generalization from Learned Simulators to Reality Zac Wellmer James T. Kwok SyDa 24 9 0 17 Sep 2021
Robust Stability of Neural Network-controlled Nonlinear Systems with Parametric Variability Soumyabrata Talukder Ratnesh Kumar 18 7 0 13 Sep 2021
Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control Wanpeng Zhang Xiaoyan Cao Yaowen Yao Zhicheng An Xi Xiao Dijun Luo OffRL 38 18 0 26 Aug 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
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 66 1,112 0 07 Jul 2021
Interpretable Model-based Hierarchical Reinforcement Learning using Inductive Logic Programming Duo Xu Faramarz Fekri 24 10 0 21 Jun 2021
Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL Catherine Cang Aravind Rajeswaran Pieter Abbeel Michael Laskin OffRL 32 29 0 16 Jun 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner Qiyang Li Sergey Levine OffRL 71 651 0 03 Jun 2021
Learning to drive from a world on rails Di Chen V. Koltun Philipp Krahenbuhl 98 116 0 03 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 24 45 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 33 46 0 20 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
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems Spencer M. Richards Navid Azizan Jean-Jacques E. Slotine Marco Pavone 39 70 0 07 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 29 100 0 26 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
Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning Baiyu Peng Yao Mu Jingliang Duan Yang Guan Shengbo Eben Li Jianyu Chen 53 19 0 17 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
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 16 520 0 04 Feb 2021
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning Rongjun Qin Songyi Gao Xingyuan Zhang Zhen Xu Shengkai Huang Zewen Li Weinan Zhang Yang Yu OffRL 140 80 0 01 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
Untangling Dense Knots by Learning Task-Relevant Keypoints J. Grannen Priya Sundaresan Brijen Thananjeyan Jeffrey Ichnowski Ashwin Balakrishna M. Hwang Vainavi Viswanath Michael Laskey Joseph E. Gonzalez Ken Goldberg 29 48 0 10 Nov 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 53 823 0 05 Oct 2020
FORK: A Forward-Looking Actor For Model-Free Reinforcement Learning Honghao Wei Lei Ying 25 7 0 04 Oct 2020
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning Junjie Wang Qichao Zhang Dongbin Zhao Mengchen Zhao Jianye Hao OffRL 29 5 0 21 Sep 2020
Learning Off-Policy with Online Planning Harshit S. Sikchi Wenxuan Zhou David Held OffRL 37 46 0 23 Aug 2020
Control as Hybrid Inference Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley 19 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
Selective Dyna-style Planning Under Limited Model Capacity Zaheer Abbas Samuel Sokota Erin J. Talvitie Martha White 37 32 0 05 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 33 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
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals Henry Charlesworth Giovanni Montana OffRL 29 24 0 01 Jun 2020
Model-Augmented Actor-Critic: Backpropagating through Paths I. Clavera Yao Fu Pieter Abbeel 44 87 0 16 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
Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization Homanga Bharadhwaj Kevin Xie Florian Shkurti 21 49 0 19 Apr 2020
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference Masashi Okada Norio Kosaka T. Taniguchi 8 43 0 01 Mar 2020
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions Elise van der Pol Thomas Kipf F. Oliehoek Max Welling 25 77 0 27 Feb 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 32 483 0 17 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
Effective Diversity in Population Based Reinforcement Learning Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts 22 158 0 03 Feb 2020
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