Model-Based Reinforcement Learning via Meta-Policy Optimization

14 September 2018

Pieter Abbeel

Papers citing "Model-Based Reinforcement Learning via Meta-Policy Optimization"

46 / 46 papers shown

Title
Sample-Efficient Reinforcement Learning of Koopman eNMPC Daniel Mayfrank M. Velioglu Alexander Mitsos Manuel Dahmen OffRL 46 0 0 24 Mar 2025
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 22 2 0 08 Nov 2024
BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation Chengxing Jia Pengyuan Wang Ziniu Li Yi-Chen Li Zhilong Zhang Nan Tang Yang Yu OffRL 34 1 0 27 May 2024
A Moreau Envelope Approach for LQR Meta-Policy Estimation Ashwin Aravind Taha Toghani César A. Uribe 40 1 0 26 Mar 2024
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning Rafael Rafailov Kyle Hatch Victor Kolev John D. Martin Mariano Phielipp Chelsea Finn OffRL OnRL 22 9 0 06 Jan 2024
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 33 8 0 15 Dec 2023
Autonomous Port Navigation With Ranging Sensors Using Model-Based Reinforcement Learning Siemen Herremans Ali Anwar Arne Troch Ian Ravijts Maarten Vangeneugden Siegfried Mercelis P. Hellinckx 17 1 0 17 Nov 2023
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning Parvin Malekzadeh Ming Hou Konstantinos N. Plataniotis 43 1 0 16 Oct 2023
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces Shyam Sundhar Ramesh Pier Giuseppe Sessa Yifan Hu Andreas Krause Ilija Bogunovic OOD 42 10 0 05 Sep 2023
On First-Order Meta-Reinforcement Learning with Moreau Envelopes Taha Toghani Sebastian Perez-Salazar César A. Uribe 29 2 0 20 May 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 37 122 0 19 Jan 2023
Hint assisted reinforcement learning: an application in radio astronomy S. Yatawatta 22 1 0 10 Jan 2023
Domain Generalization for Robust Model-Based Offline Reinforcement Learning Alan Clark Shoaib Ahmed Siddiqui Robert Kirk Usman Anwar Stephen Chung David M. Krueger OOD OffRL 27 0 0 27 Nov 2022
Knowledge-Guided Exploration in Deep Reinforcement Learning Sahisnu Mazumder Bing-Quan Liu Shuai Wang Yingxuan Zhu Xiaotian Yin Lifeng Liu Jian Li 40 4 0 26 Oct 2022
Offline Policy Comparison with Confidence: Benchmarks and Baselines Anurag Koul Mariano Phielipp Alan Fern OffRL 28 0 0 22 May 2022
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds Michael O'Connell Guanya Shi Xichen Shi Kamyar Azizzadenesheli Anima Anandkumar Yisong Yue Soon-Jo Chung 75 169 0 13 May 2022
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Dapeng Li Bin Zhang Yuan Zhan Yunru Bai Guoliang Fan OffRL 27 6 0 20 Apr 2022
Control-oriented meta-learning Spencer M. Richards Navid Azizan Jean-Jacques E. Slotine Marco Pavone 29 24 0 14 Apr 2022
Gradient-Based Trajectory Optimization With Learned Dynamics Bhavya Sukhija Nathanael Kohler Miguel Zamora Simon Zimmermann Sebastian Curi Andreas Krause Stelian Coros 28 9 0 09 Apr 2022
Investigating Compounding Prediction Errors in Learned Dynamics Models Nathan Lambert K. Pister Roberto Calandra AI4CE 14 27 0 17 Mar 2022
HiMA: A Fast and Scalable History-based Memory Access Engine for Differentiable Neural Computer Yaoyu Tao Zhengya Zhang 27 5 0 15 Feb 2022
Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic Zhihai Wang Jie Wang Qi Zhou Bin Li Houqiang Li 19 30 0 16 Dec 2021
ED2: Environment Dynamics Decomposition World Models for Continuous Control Jianye Hao Yifu Yuan Cong Wang Zhen Wang OffRL 10 1 0 06 Dec 2021
A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning Tongzheng Ren Tianjun Zhang Csaba Szepesvári Bo Dai 22 19 0 22 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
Improving Hyperparameter Optimization by Planning Ahead H. Jomaa Jonas K. Falkner Lars Schmidt-Thieme 22 0 0 15 Oct 2021
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks Robert McCarthy Qiang Wang S. Redmond OffRL 27 15 0 05 Oct 2021
Robust Stability of Neural Network-controlled Nonlinear Systems with Parametric Variability Soumyabrata Talukder Ratnesh Kumar 11 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 33 18 0 26 Aug 2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey Richard Dazeley Peter Vamplew Francisco Cruz 32 59 0 20 Aug 2021
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems Spencer M. Richards Navid Azizan Jean-Jacques E. Slotine Marco Pavone 29 69 0 07 Mar 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
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond Risheng Liu Jiaxin Gao Jin Zhang Deyu Meng Zhouchen Lin AI4CE 50 222 0 27 Jan 2021
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem Eric Liang Zhanghao Wu Michael Luo Sven Mika Joseph E. Gonzalez Ion Stoica AI4CE 21 9 0 25 Nov 2020
Model-based Policy Optimization with Unsupervised Model Adaptation Jian Shen Han Zhao Weinan Zhang Yong Yu 30 27 0 19 Oct 2020
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning Sebastian Curi Felix Berkenkamp Andreas Krause 25 82 0 15 Jun 2020
Model-Augmented Actor-Critic: Backpropagating through Paths I. Clavera Yao Fu Pieter Abbeel 33 86 0 16 May 2020
Ready Policy One: World Building Through Active Learning Philip J. Ball Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts OffRL 27 49 0 07 Feb 2020
Asynchronous Methods for Model-Based Reinforcement Learning Yunzhi Zhang I. Clavera Bo-Yu Tsai Pieter Abbeel OffRL 11 27 0 28 Oct 2019
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models Arunkumar Byravan Jost Tobias Springenberg A. Abdolmaleki Roland Hafner Michael Neunert Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller OffRL 8 41 0 09 Oct 2019
Dynamics-aware Embeddings William F. Whitney Rajat Agarwal Kyunghyun Cho Abhinav Gupta SSL 17 53 0 25 Aug 2019
Variational Inference MPC for Bayesian Model-based Reinforcement Learning Masashi Okada T. Taniguchi 32 73 0 08 Jul 2019
ProMP: Proximal Meta-Policy Search Jonas Rothfuss Dennis Lee I. Clavera Tamim Asfour Pieter Abbeel 18 209 0 16 Oct 2018
Learning Scheduling Algorithms for Data Processing Clusters Hongzi Mao Malte Schwarzkopf S. Venkatakrishnan Zili Meng Mohammad Alizadeh OffRL 20 635 0 03 Oct 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017