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 / 204 papers shown

Title
Learning Haptic-based Object Pose Estimation for In-hand Manipulation Control with Underactuated Robotic Hands Osher Azulay Inbar Ben-David A. Sintov 40 14 0 06 Jul 2022
Low Emission Building Control with Zero-Shot Reinforcement Learning Scott Jeen Alessandro Abate Jonathan M. Cullen AI4CE 25 5 0 28 Jun 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
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 202 637 0 20 May 2022
Sampling-Based Nonlinear MPC of Neural Network Dynamics with Application to Autonomous Vehicle Motion Planning Iman Askari Babak Badnava Thomas Woodruff Shen Zeng H. Fang 15 16 0 09 May 2022
Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning Kevin Zeng Alec J. Linot M. Graham AI4CE 22 28 0 01 May 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
A Manifold View of Adversarial Risk Wen-jun Zhang Yikai Zhang Xiaoling Hu Mayank Goswami Chao Chen Dimitris N. Metaxas AAML 19 6 0 24 Mar 2022
Temporal Difference Learning for Model Predictive Control Nicklas Hansen Xiaolong Wang H. Su PINN MU 41 226 0 09 Mar 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
Reinforcement Learning for Personalized Drug Discovery and Design for Complex Diseases: A Systems Pharmacology Perspective Ryan K. Tan Yang Liu Lei Xie 49 2 0 21 Jan 2022
Bayesian sense of time in biological and artificial brains Zafeirios Fountas Alexey Zakharov 35 0 0 14 Jan 2022
Transfer RL across Observation Feature Spaces via Model-Based Regularization Yanchao Sun Ruijie Zheng Xiyao Wang Andrew Cohen Furong Huang OOD OffRL 25 21 0 01 Jan 2022
Multiagent Model-based Credit Assignment for Continuous Control Dongge Han Chris Xiaoxuan Lu Tomasz P. Michalak Michael Wooldridge 27 5 0 27 Dec 2021
Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles Won Joon Yun Myungjae Shin Soyi Jung S. Kwon Joongheon Kim 27 5 0 26 Dec 2021
Smooth Model Predictive Path Integral Control without Smoothing Taekyung Kim Gyuhyun Park K. Kwak Jihwan Bae Wonsuk Lee 27 38 0 18 Dec 2021
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
Probability Density Estimation Based Imitation Learning Yang Liu Yongzhe Chang Shilei Jiang Xueqian Wang Bin Liang Bo Yuan 21 0 0 13 Dec 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
Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention Yunkun Xu Zhen-yu Liu Guifang Duan Jiangcheng Zhu X. Bai Jianrong Tan 18 9 0 10 Nov 2021
Dynamic Mirror Descent based Model Predictive Control for Accelerating Robot Learning Utkarsh Aashu Mishra Soumya R. Samineni Prakhar Goel Chandravaran Kunjeti Himanshu Lodha Aman Singh Aditya Sagi S. Bhatnagar Shishir Kolathaya 32 3 0 04 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
Policy Search using Dynamic Mirror Descent MPC for Model Free Off Policy RL Aarush Gupta 30 0 0 23 Oct 2021
Improving Hyperparameter Optimization by Planning Ahead H. Jomaa Jonas K. Falkner Lars Schmidt-Thieme 22 0 0 15 Oct 2021
OPEn: An Open-ended Physics Environment for Learning Without a Task Chuang Gan Abhishek Bhandwaldar Antonio Torralba J. Tenenbaum Phillip Isola LRM 138 4 0 13 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
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
Deep Reinforcement Learning with Adjustments H. Khorasgani Haiyan Wang Chetan Gupta Susumu Serita 23 2 0 28 Sep 2021
Video2Skill: Adapting Events in Demonstration Videos to Skills in an Environment using Cyclic MDP Homomorphisms Sumedh Anand Sontakke Sumegh Roychowdhury Mausoom Sarkar Nikaash Puri Balaji Krishnamurthy Laurent Itti 34 1 0 08 Sep 2021
High Performance Across Two Atari Paddle Games Using the Same Perceptual Control Architecture Without Training T. Gulrez W. Mansell 24 0 0 04 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
Non-Markovian Reinforcement Learning using Fractional Dynamics Gaurav Gupta Chenzhong Yin Jyotirmoy V. Deshmukh P. Bogdan OffRL 44 9 0 29 Jul 2021
Model Free Barrier Functions via Implicit Evading Maneuvers Eric Squires Rohit Konda Samuel Coogan M. Egerstedt 35 6 0 27 Jul 2021
Deformable Elasto-Plastic Object Shaping using an Elastic Hand and Model-Based Reinforcement Learning Carolyn Matl R. Bajcsy 25 21 0 14 Jul 2021
Few-shot Language Coordination by Modeling Theory of Mind Hao Zhu Graham Neubig Yonatan Bisk 19 35 0 12 Jul 2021
Backprop-Free Reinforcement Learning with Active Neural Generative Coding Alexander Ororbia A. Mali 41 15 0 10 Jul 2021
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks Albert Wilcox Ashwin Balakrishna Brijen Thananjeyan Joseph E. Gonzalez Ken Goldberg 29 11 0 10 Jul 2021
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction Assaf Hallak Gal Dalal Steven Dalton I. Frosio Shie Mannor Gal Chechik OffRL OnRL 35 9 0 04 Jul 2021
Reinforcement Learning for Feedback-Enabled Cyber Resilience Yunhan Huang Linan Huang Quanyan Zhu 18 67 0 02 Jul 2021
MHER: Model-based Hindsight Experience Replay Rui Yang Meng Fang Lei Han Yali Du Feng Luo Xiu Li OffRL 29 17 0 01 Jul 2021
Applications of the Free Energy Principle to Machine Learning and Neuroscience Beren Millidge DRL 28 7 0 30 Jun 2021
Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots Katie Kang G. Kahn Sergey Levine 37 5 0 24 Jun 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner Qiyang Li Sergey Levine OffRL 71 651 0 03 Jun 2021
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts Weinan Zhang Xihuai Wang Jian Shen Ming Zhou 27 35 0 07 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 22 45 0 28 Apr 2021
GEM: Group Enhanced Model for Learning Dynamical Control Systems Philippe Hansen-Estruch Wenling Shang Lerrel Pinto Pieter Abbeel Stas Tiomkin AI4CE 38 2 0 07 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
Learning Reactive and Predictive Differentiable Controllers for Switching Linear Dynamical Models Saumya Saxena A. LaGrassa Oliver Kroemer 39 4 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