Model-Based Reinforcement Learning via Meta-Policy Optimization

14 September 2018

Pieter Abbeel

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

50 / 50 papers shown

Title
Sample-Efficient Reinforcement Learning of Koopman eNMPC Daniel Mayfrank M. Velioglu Alexander Mitsos Manuel Dahmen OffRL 49 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 27 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 42 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 10 0 06 Jan 2024
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 36 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 27 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 51 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 37 2 0 20 May 2023
Predictable MDP Abstraction for Unsupervised Model-Based RL Seohong Park Sergey Levine 19 9 0 08 Feb 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 27 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 46 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 35 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 30 9 0 09 Apr 2022
Investigating Compounding Prediction Errors in Learned Dynamics Models Nathan Lambert K. Pister Roberto Calandra AI4CE 22 27 0 17 Mar 2022
HiMA: A Fast and Scalable History-based Memory Access Engine for Differentiable Neural Computer Yaoyu Tao Zhengya Zhang 30 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 27 30 0 16 Dec 2021
ED2: Environment Dynamics Decomposition World Models for Continuous Control Jianye Hao Yifu Yuan Cong Wang Zhen Wang OffRL 16 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 27 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 13 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
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey Richard Dazeley Peter Vamplew Francisco Cruz 32 59 0 20 Aug 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 45 43 0 25 Mar 2021
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems Spencer M. Richards Navid Azizan Jean-Jacques E. Slotine Marco Pavone 37 70 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 59 222 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 23 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
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning Junjie Wang Qichao Zhang Dongbin Zhao Mengchen Zhao Jianye Hao OffRL 6 5 0 21 Sep 2020
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning Sebastian Curi Felix Berkenkamp Andreas Krause 33 82 0 15 Jun 2020
Model-Augmented Actor-Critic: Backpropagating through Paths I. Clavera Yao Fu Pieter Abbeel 44 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 32 49 0 07 Feb 2020
Asynchronous Methods for Model-Based Reinforcement Learning Yunzhi Zhang I. Clavera Bo-Yu Tsai Pieter Abbeel OffRL 13 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 11 41 0 09 Oct 2019
Dynamics-aware Embeddings William F. Whitney Rajat Agarwal Kyunghyun Cho Abhinav Gupta SSL 19 53 0 25 Aug 2019
Variational Inference MPC for Bayesian Model-based Reinforcement Learning Masashi Okada T. Taniguchi 38 73 0 08 Jul 2019
VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control Xingxing Liang Qi Wang Yanghe Feng Zhong Liu Jincai Huang 21 5 0 24 Dec 2018
ProMP: Proximal Meta-Policy Search Jonas Rothfuss Dennis Lee I. Clavera Tamim Asfour Pieter Abbeel 35 209 0 16 Oct 2018
Learning Scheduling Algorithms for Data Processing Clusters Hongzi Mao Malte Schwarzkopf S. Venkatakrishnan Zili Meng Mohammad Alizadeh OffRL 20 636 0 03 Oct 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 383 11,700 0 09 Mar 2017