EPOpt: Learning Robust Neural Network Policies Using Model Ensembles

5 October 2016

Aravind Rajeswaran

Papers citing "EPOpt: Learning Robust Neural Network Policies Using Model Ensembles"

49 / 99 papers shown

Title
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL Saurabh Kumar Aviral Kumar Sergey Levine Chelsea Finn OffRL 16 90 0 27 Oct 2020
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning Junjie Wang Qichao Zhang Dongbin Zhao Mengchen Zhao Jianye Hao OffRL 32 5 0 21 Sep 2020
Robust Reinforcement Learning using Adversarial Populations Eugene Vinitsky Yuqing Du Kanaad Parvate Kathy Jang Pieter Abbeel Alexandre M. Bayen AAML 49 79 0 04 Aug 2020
Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance Rejection Tianming Wang Wenjie Lu H. Yu Dikai Liu 41 1 0 29 Jul 2020
Self-Supervised Policy Adaptation during Deployment Nicklas Hansen Rishabh Jangir Yu Sun Guillem Alenyà Pieter Abbeel Alexei A. Efros Lerrel Pinto Xiaolong Wang 41 159 0 08 Jul 2020
Model-based Adversarial Meta-Reinforcement Learning Zichuan Lin G. Thomas Guangwen Yang Tengyu Ma OOD 27 52 0 16 Jun 2020
Robust Reinforcement Learning with Wasserstein Constraint Linfang Hou Liang Pang Xin Hong Yanyan Lan Zhiming Ma Dawei Yin 27 24 0 01 Jun 2020
Two-stage Deep Reinforcement Learning for Inverter-based Volt-VAR Control in Active Distribution Networks Haotian Liu Wenchuan Wu OffRL 19 95 0 20 May 2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning Kimin Lee Younggyo Seo Seunghyun Lee Honglak Lee Jinwoo Shin 45 125 0 14 May 2020
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning Michael Everett Bjorn Lutjens Jonathan P. How AAML 20 41 0 11 Apr 2020
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts Gilwoo Lee Brian Hou Sanjiban Choudhury S. Srinivasa BDL OffRL 37 7 0 07 Feb 2020
Lyceum: An efficient and scalable ecosystem for robot learning Colin Summers Kendall Lowrey Aravind Rajeswaran S. Srinivasa E. Todorov 24 18 0 21 Jan 2020
Attention-Privileged Reinforcement Learning Sasha Salter Dushyant Rao Markus Wulfmeier R. Hadsell Ingmar Posner 23 8 0 19 Nov 2019
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks Youngwoon Lee E. Hu Zhengyu Yang Alexander Yin Joseph J. Lim 36 122 0 17 Nov 2019
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning Bharathan Balaji S. Mallya Sahika Genc Saurabh Gupta Leo Dirac ... Yunzhe Tao Brian Townsend E. Calleja Sunil Muralidhara Dhanasekar Karuppasamy 26 56 0 05 Nov 2019
Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles Aditya Modi Nan Jiang Ambuj Tewari Satinder Singh 30 129 0 23 Oct 2019
Robust Visual Domain Randomization for Reinforcement Learning Reda Bahi Slaoui W. Clements Jakob N. Foerster Sébastien Toth OOD 21 12 0 23 Oct 2019
Single Episode Policy Transfer in Reinforcement Learning Jiachen Yang Brenden K. Petersen H. Zha Daniel Faissol OOD OffRL 33 33 0 17 Oct 2019
Visualizing Movement Control Optimization Landscapes Perttu Hämäläinen Juuso Toikka Amin Babadi Karen Liu 27 7 0 17 Sep 2019
Situational Fusion of Visual Representation for Visual Navigation Bokui (William) Shen Danfei Xu Yuke Zhu Leonidas J. Guibas Fei-Fei Li Silvio Savarese SSL 27 62 0 24 Aug 2019
Wasserstein Robust Reinforcement Learning Mohammed Abdullah Hang Ren Haitham Bou-Ammar Vladimir Milenkovic Rui Luo Mingtian Zhang Jun Wang 32 75 0 30 Jul 2019
TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer Adam Allevato Elaine Schaertl Short Mitch Pryor A. Thomaz 35 53 0 25 Jul 2019
Assessing Transferability from Simulation to Reality for Reinforcement Learning Fabio Muratore Michael Gienger Jan Peters 19 61 0 10 Jul 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
Proximal Reliability Optimization for Reinforcement Learning Narendra Patwardhan Zequn Wang 18 0 0 03 Jun 2019
The Principle of Unchanged Optimality in Reinforcement Learning Generalization A. Irpan Xingyou Song OffRL 33 7 0 02 Jun 2019
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning Xinlei Pan Weiyao Wang Xiaoshuai Zhang Bo Li Jinfeng Yi D. Song MIACV 69 26 0 24 Apr 2019
Risk Averse Robust Adversarial Reinforcement Learning Xinlei Pan Daniel Seita Yang Gao John F. Canny AAML 16 96 0 31 Mar 2019
Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning Xiaobai Ma Katherine Driggs-Campbell Mykel J. Kochenderfer AAML 29 48 0 08 Mar 2019
Sim-to-Real Transfer for Biped Locomotion Wenhao Yu Visak C. V. Kumar Greg Turk Chenxi Liu 12 114 0 04 Mar 2019
Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies Alexander Sax Bradley Emi Amir Zamir Leonidas J. Guibas Silvio Savarese Jitendra Malik SSL 39 16 0 31 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
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks Stephen James Paul Wohlhart Mrinal Kalakrishnan Dmitry Kalashnikov A. Irpan Julian Ibarz Sergey Levine R. Hadsell Konstantinos Bousmalis 46 444 0 18 Dec 2018
Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control Zhuo Xu Chen Tang Masayoshi Tomizuka OffRL 27 35 0 07 Dec 2018
Hardware Conditioned Policies for Multi-Robot Transfer Learning Tao Chen Adithyavairavan Murali Abhinav Gupta 21 102 0 24 Nov 2018
Assessing Generalization in Deep Reinforcement Learning Charles Packer Katelyn Gao Jernej Kos Philipp Krahenbuhl V. Koltun D. Song OffRL 18 233 0 29 Oct 2018
Policy Transfer with Strategy Optimization Wenhao Yu Chenxi Liu Greg Turk 38 80 0 12 Oct 2018
Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience Yevgen Chebotar Ankur Handa Viktor Makoviychuk Miles Macklin J. Issac Nathan D. Ratliff Dieter Fox 10 500 0 12 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
Online Robust Policy Learning in the Presence of Unknown Adversaries Aaron J. Havens Zhanhong Jiang Soumik Sarkar AAML 24 43 0 16 Jul 2018
A survey on policy search algorithms for learning robot controllers in a handful of trials Konstantinos Chatzilygeroudis Vassilis Vassiliades F. Stulp Sylvain Calinon Jean-Baptiste Mouret 17 155 0 06 Jul 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
Fingerprint Policy Optimisation for Robust Reinforcement Learning Supratik Paul Michael A. Osborne Shimon Whiteson 32 18 0 27 May 2018
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization Xue Bin Peng Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel 67 1,345 0 18 Oct 2017
Mutual Alignment Transfer Learning Markus Wulfmeier Ingmar Posner Pieter Abbeel 16 60 0 25 Jul 2017
RAIL: Risk-Averse Imitation Learning Anirban Santara A. Naik Balaraman Ravindran Dipankar Das Dheevatsa Mudigere Sasikanth Avancha Bharat Kaul 30 18 0 20 Jul 2017
Towards Generalization and Simplicity in Continuous Control Aravind Rajeswaran Kendall Lowrey E. Todorov Sham Kakade OffRL 46 276 0 08 Mar 2017
Deep Robust Kalman Filter Shirli Di-Castro Shashua Shie Mannor BDL 30 28 0 07 Mar 2017
Preparing for the Unknown: Learning a Universal Policy with Online System Identification Wenhao Yu Jie Tan Chenxi Liu Greg Turk OffRL 34 306 0 08 Feb 2017