Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning

8 August 2017

Papers citing "Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning"

50 / 202 papers shown

Title
Sample Efficient Reinforcement Learning via Large Vision Language Model Distillation Donghoon Lee Tung M. Luu Younghwan Lee Chang D. Yoo OffRL VLM 14 0 0 16 May 2025
Motion Planning for Autonomous Vehicles: When Model Predictive Control Meets Ensemble Kalman Smoothing Iman Askari Yebin Wang Vedeng M. Deshpande H. Fang 32 1 0 10 May 2025
MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning Shiguang Sun Hanbo Zhang Zeyang Liu Xinrui Yang Lipeng Wan Bing Yan Xingyu Chen Xuguang Lan 40 0 0 05 Apr 2025
Look Before Leap: Look-Ahead Planning with Uncertainty in Reinforcement Learning Yongshuai Liu Xin Liu 95 1 0 26 Mar 2025
Robotic Table Tennis: A Case Study into a High Speed Learning System David B. DÁmbrosio Jonathan Abelian Saminda Abeyruwan Michael Ahn Alex Bewley ... Vikas Sindhwani Avi Singh Vincent Vanhoucke Grace Vesom Peng Xu 60 13 0 20 Feb 2025
Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol Pai Liu Lingfeng Zhao Shivangi Agarwal Jinghan Liu Audrey Huang P. Amortila Nan Jiang OODD OffRL 104 0 0 11 Feb 2025
DHP: Discrete Hierarchical Planning for Hierarchical Reinforcement Learning Agents Shashank Sharma Janina Hoffmann Vinay P. Namboodiri 96 0 0 04 Feb 2025
EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning Siddharth Aravindan Dixant Mittal Wee Sun Lee BDL 79 0 0 17 Jan 2025
Learning Multiple Initial Solutions to Optimization Problems Elad Sharony Heng Yang Tong Che Marco Pavone Shie Mannor Peter Karkus 36 2 0 04 Nov 2024
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling Jasmine Bayrooti Carl Henrik Ek Amanda Prorok 42 0 0 07 Oct 2024
Physically-Consistent Parameter Identification of Robots in Contact Shahram Khorshidi Murad Dawood Benno Nederkorn Maren Bennewitz Majid Khadiv 37 1 0 15 Sep 2024
SE(3)-Hyena Operator for Scalable Equivariant Learning Artem Moskalev Mangal Prakash Rui Liao Tommaso Mansi 54 2 0 01 Jul 2024
Trust the Model Where It Trusts Itself -- Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption Bernd Frauenknecht Artur Eisele Devdutt Subhasish Friedrich Solowjow Sebastian Trimpe 51 5 0 29 May 2024
DPO: A Differential and Pointwise Control Approach to Reinforcement Learning Minh Nguyen Chandrajit Bajaj 25 0 0 24 Apr 2024
Model-based Reinforcement Learning for Parameterized Action Spaces Renhao Zhang Haotian Fu Yilin Miao George Konidaris 31 3 0 03 Apr 2024
Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation Carlos Plou Ana C. Murillo Ruben Martinez-Cantin OffRL 40 0 0 02 Apr 2024
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles Ruoqi Wen Jiahao Huang Rongpeng Li Guoru Ding Zhifeng Zhao 37 1 0 21 Dec 2023
Designing Long-term Group Fair Policies in Dynamical Systems Miriam Rateike Isabel Valera Patrick Forré 38 4 0 21 Nov 2023
Model Predictive Inferential Control of Neural State-Space Models for Autonomous Vehicle Motion Planning Iman Askari Xumein Tu Shen Zeng Shen Zeng Huazhen Fang 24 5 0 12 Oct 2023
Amortized Network Intervention to Steer the Excitatory Point Processes Zitao Song Wendi Ren Sourav Garg 29 1 0 06 Oct 2023
Machine Learning Meets Advanced Robotic Manipulation Saeid Nahavandi R. Alizadehsani D. Nahavandi Chee Peng Lim Kevin Kelly Fernando Bello 24 17 0 22 Sep 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability Chuning Zhu Max Simchowitz Siri Gadipudi Abhishek Gupta 46 13 0 31 Aug 2023
Structured World Models from Human Videos Russell Mendonca Shikhar Bahl Deepak Pathak LM&Ro 51 87 0 21 Aug 2023
DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation Hanqing Wang Wei Liang Luc Van Gool Wenguan Wang LM&Ro 37 28 0 14 Aug 2023
Learning to Shape by Grinding: Cutting-surface-aware Model-based Reinforcement Learning Takumi Hachimine Jun Morimoto Takamitsu Matsubara 24 5 0 04 Aug 2023
Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model Suresh Guttikonda Jan Achterhold Haolong Li Joschka Boedecker Joerg Stueckler 29 2 0 18 Jul 2023
Actor-Critic Model Predictive Control Angel Romero Yunlong Song Davide Scaramuzza 52 36 0 16 Jun 2023
Learning Terrain-Aware Kinodynamic Model for Autonomous Off-Road Rally Driving With Model Predictive Path Integral Control Ho-Woon Lee Taekyung Kim Jungwi Mun Wonsuk Lee 38 16 0 01 May 2023
Planning with Sequence Models through Iterative Energy Minimization Hongyi Chen Yilun Du Yiye Chen J. Tenenbaum Patricio A. Vela 32 6 0 28 Mar 2023
Data-efficient, Explainable and Safe Box Manipulation: Illustrating the Advantages of Physical Priors in Model-Predictive Control Achkan Salehi Stéphane Doncieux OffRL 27 2 0 02 Mar 2023
Model-based Constrained MDP for Budget Allocation in Sequential Incentive Marketing Shuai Xiao Le Guo Zaifan Jiang Lei Lv Yuanbo Chen Jun Zhu Shuang Yang 30 21 0 02 Mar 2023
High-frequency Matters: An Overwriting Attack and defense for Image-processing Neural Network Watermarking Huajie Chen Tianqing Zhu Chi Liu Shui Yu Wanlei Zhou AAML 29 3 0 17 Feb 2023
Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs Stefan Werner Sebastian Peitz 41 9 0 14 Feb 2023
AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer Allen Z. Ren Hongkai Dai Benjamin Burchfiel Anirudha Majumdar 27 14 0 09 Feb 2023
Investigating the role of model-based learning in exploration and transfer Jacob Walker Eszter Vértes Yazhe Li Gabriel Dulac-Arnold Ankesh Anand T. Weber Jessica B. Hamrick OffRL 36 7 0 08 Feb 2023
Hint assisted reinforcement learning: an application in radio astronomy S. Yatawatta 30 1 0 10 Jan 2023
Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning Ramij-Raja Hossain Tianzhixi Yin Yan Du Renke Huang Jie Tan Wenhao Yu Yuan Liu Qiuhua Huang 43 0 0 06 Dec 2022
Learning to Optimize in Model Predictive Control Jacob Sacks Byron Boots 29 22 0 05 Dec 2022
Learning Sampling Distributions for Model Predictive Control Jacob Sacks Byron Boots 13 21 0 05 Dec 2022
A Survey on Reinforcement Learning in Aviation Applications Pouria Razzaghi Amin Tabrizian Wei Guo Shulu Chen Abenezer Taye Ellis E. Thompson Alexis Bregeon Ali Baheri Peng Wei OffRL 23 52 0 03 Nov 2022
Learning Modular Robot Locomotion from Demonstrations Julian Whitman Howie Choset 31 1 0 31 Oct 2022
Learning Modular Robot Visual-motor Locomotion Policies Julian Whitman Howie Choset 26 1 0 31 Oct 2022
Knowledge-Guided Exploration in Deep Reinforcement Learning Sahisnu Mazumder Bing-Quan Liu Shuai Wang Yingxuan Zhu Xiaotian Yin Lifeng Liu Jian Li 50 4 0 26 Oct 2022
Random Actions vs Random Policies: Bootstrapping Model-Based Direct Policy Search Elias Hanna Alexandre Coninx Stéphane Doncieux OffRL 34 0 0 21 Oct 2022
Safe Policy Improvement in Constrained Markov Decision Processes Luigi Berducci Radu Grosu OffRL 36 2 0 20 Oct 2022
When to Update Your Model: Constrained Model-based Reinforcement Learning Tianying Ji Yu-Juan Luo Gang Hua Mingxuan Jing Fengxiang He Wen-bing Huang 24 18 0 15 Oct 2022
ControlVAE: Model-Based Learning of Generative Controllers for Physics-Based Characters Heyuan Yao Zhenhua Song Bin Chen Libin Liu DRL VGen 16 41 0 12 Oct 2022
Benchmarking Reinforcement Learning Techniques for Autonomous Navigation Zifan Xu Bo Liu Xuesu Xiao Anirudh Nair Peter Stone 39 42 0 10 Oct 2022
Model-based Reinforcement Learning with Multi-step Plan Value Estimation Hao-Chu Lin Yihao Sun Jiajin Zhang Yang Yu OffRL 37 7 0 12 Sep 2022
Variational Inference for Model-Free and Model-Based Reinforcement Learning Felix Leibfried OffRL 23 0 0 04 Sep 2022