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
Driving Reinforcement Learning with Models Meghana Rathi P. Ferraro G. Russo 15 10 0 11 Nov 2019
Learning from Trajectories via Subgoal Discovery S. Paul J. Baar Amit K. Roy-Chowdhury 86 47 0 03 Nov 2019
Explicit Explore-Exploit Algorithms in Continuous State Spaces Mikael Henaff OffRL 22 31 0 01 Nov 2019
Feedback Linearization for Unknown Systems via Reinforcement Learning T. Westenbroek David Fridovich-Keil Eric Mazumdar Shreyas Arora Valmik Prabhu S. Shankar Sastry Claire Tomlin 22 28 0 29 Oct 2019
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction C. Freeman Luke Metz David R Ha 33 35 0 29 Oct 2019
Asynchronous Methods for Model-Based Reinforcement Learning Yunzhi Zhang I. Clavera Bo-Yu Tsai Pieter Abbeel OffRL 19 27 0 28 Oct 2019
On the Utility of Learning about Humans for Human-AI Coordination Micah Carroll Rohin Shah Mark K. Ho Thomas Griffiths S. Seshia Pieter Abbeel Anca Dragan HAI 25 382 0 13 Oct 2019
Regularizing Model-Based Planning with Energy-Based Models Rinu Boney Arno Solin Alexander Ilin 6 18 0 12 Oct 2019
Making sense of sensory input Maciej Wołczyk Jacek Tabor Johannes Welbl Szymon Maszke Marek Sergot 19 52 0 05 Oct 2019
Model Based Planning with Energy Based Models Yilun Du Toru Lin Igor Mordatch 6 37 0 15 Sep 2019
Deep reinforcement learning in World-Earth system models to discover sustainable management strategies Felix M. Strnad W. Barfuss J. Donges J. Heitzig 30 25 0 15 Aug 2019
Learning Stabilizable Nonlinear Dynamics with Contraction-Based Regularization Sumeet Singh Spencer M. Richards Vikas Sindhwani Jean-Jacques E. Slotine Marco Pavone 40 74 0 29 Jul 2019
Hindsight Trust Region Policy Optimization Hanbo Zhang Site Bai Xuguang Lan David Hsu Nanning Zheng 38 8 0 29 Jul 2019
Learning Hybrid Object Kinematics for Efficient Hierarchical Planning Under Uncertainty Ajinkya Jain S. Niekum 24 19 0 21 Jul 2019
Data Efficient Reinforcement Learning for Legged Robots Yuxiang Yang Ken Caluwaerts Atil Iscen Tingnan Zhang Jie Tan Vikas Sindhwani 30 139 0 08 Jul 2019
On-Policy Robot Imitation Learning from a Converging Supervisor Ashwin Balakrishna Brijen Thananjeyan Jonathan Lee Felix Li Arsh Zahed Joseph E. Gonzalez Ken Goldberg 30 17 0 08 Jul 2019
Variational Inference MPC for Bayesian Model-based Reinforcement Learning Masashi Okada T. Taniguchi 40 73 0 08 Jul 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 36 372 0 01 Jul 2019
Deep Reinforcement Learning for Cyber Security Thanh Thi Nguyen Vijay Janapa Reddi OffRL AI4CE 10 313 0 13 Jun 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 32 286 0 12 Jun 2019
Active Learning of Dynamics for Data-Driven Control Using Koopman Operators Ian Abraham Todd D. Murphey 24 160 0 12 Jun 2019
Learning Powerful Policies by Using Consistent Dynamics Model Shagun Sodhani Anirudh Goyal T. Deleu Yoshua Bengio Sergey Levine Jian Tang OffRL 19 5 0 11 Jun 2019
Combating the Compounding-Error Problem with a Multi-step Model Kavosh Asadi Dipendra Kumar Misra Seungchan Kim Michel L. Littman LRM 16 55 0 30 May 2019
Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics Grady Williams Brian Goldfain James M. Rehg Evangelos A. Theodorou 18 12 0 13 May 2019
Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control Chen Liang Weihong Wang Zhenghua Liu Chao Lai Benchun Zhou 19 28 0 15 Apr 2019
Risk Averse Robust Adversarial Reinforcement Learning Xinlei Pan Daniel Seita Yang Gao John F. Canny AAML 16 96 0 31 Mar 2019
Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer Learning Ruo-Ze Liu Haifeng Guo Xiaozhong Ji Yang Yu Zhen-Jia Pang Zitai Xiao Yuzhou Wu Tong Lu OffRL 19 13 0 02 Mar 2019
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic Mikael Henaff A. Canziani Yann LeCun OOD 28 122 0 08 Jan 2019
Accelerating Goal-Directed Reinforcement Learning by Model Characterization Shoubhik Debnath Gaurav Sukhatme Lantao Liu 21 3 0 04 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 27 775 0 31 Dec 2018
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System Xinshi Chen Shuang Li Hui Li Shaohua Jiang Yuan Qi Le Song 22 207 0 27 Dec 2018
VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control Xingxing Liang Qi Wang Yanghe Feng Zhong Liu Jincai Huang 29 5 0 24 Dec 2018
Residual Policy Learning Tom Silver Kelsey R. Allen J. Tenenbaum L. Kaelbling OffRL 26 173 0 15 Dec 2018
The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint Stephen Tu Benjamin Recht OffRL 11 150 0 09 Dec 2018
Learning Actionable Representations with Goal-Conditioned Policies Dibya Ghosh Abhishek Gupta Sergey Levine 32 109 0 19 Nov 2018
Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning L. Nguyen Zhou Yang Jiazhen Zhu Jia Ming Li Fang Jin 21 21 0 12 Nov 2018
Learning Latent Space Dynamics for Tactile Servoing Giovanni Sutanto Nathan D. Ratliff Rui Luo Yaodong Yang Yixiao Liu Ankur Handa Dieter Fox 14 31 0 08 Nov 2018
Towards a Simple Approach to Multi-step Model-based Reinforcement Learning Kavosh Asadi Evan Cater Dipendra Kumar Misra Michael L. Littman OffRL 26 13 0 31 Oct 2018
Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions Lerrel Pinto Aditya Mandalika Brian Hou S. Srinivasa 33 13 0 24 Oct 2018
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids Yunzhu Li Jiajun Wu Russ Tedrake J. Tenenbaum Antonio Torralba PINN AI4CE 32 389 0 03 Oct 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization I. Clavera Jonas Rothfuss John Schulman Yasuhiro Fujita Tamim Asfour Pieter Abbeel 30 225 0 14 Sep 2018
Recurrent World Models Facilitate Policy Evolution David R Ha Jürgen Schmidhuber SyDa TPM 52 920 0 04 Sep 2018
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning Marvin Zhang Sharad Vikram Laura M. Smith Pieter Abbeel Matthew J. Johnson Sergey Levine OffRL 23 41 0 28 Aug 2018
Unsupervised Meta-Learning for Reinforcement Learning Abhishek Gupta Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 54 106 0 12 Jun 2018
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings John D. Co-Reyes YuXuan Liu Abhishek Gupta Benjamin Eysenbach Pieter Abbeel Sergey Levine SSL BDL AIFin 37 142 0 07 Jun 2018
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 42 595 0 04 Jun 2018
Intelligent Trainer for Model-Based Reinforcement Learning Yuanlong Li Linsen Dong Xin Zhou Yonggang Wen K. Guan OffRL 24 0 0 24 May 2018
Deep Dynamical Modeling and Control of Unsteady Fluid Flows Jeremy Morton F. Witherden A. Jameson Mykel J. Kochenderfer AI4CE 26 162 0 18 May 2018
Personalized Dynamics Models for Adaptive Assistive Navigation Systems Eshed Ohn-Bar Kris Kitani Chieko Asakawa 27 29 0 11 Apr 2018
World Models David R Ha Jürgen Schmidhuber SyDa 50 1,036 0 27 Mar 2018