MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty

20 November 2020

Papers citing "MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty"

20 / 20 papers shown

Title
Benchmarking Model-Based Reinforcement Learning Tingwu Wang Xuchan Bao I. Clavera Jerrick Hoang Yeming Wen Eric D. Langlois Matthew Shunshi Zhang Guodong Zhang Pieter Abbeel Jimmy Ba OffRL 59 363 0 03 Jul 2019
Deep Drone Racing: From Simulation to Reality with Domain Randomization Antonio Loquercio Elia Kaufmann René Ranftl Alexey Dosovitskiy V. Koltun Davide Scaramuzza 69 210 0 21 May 2019
Assessing Generalization in Deep Reinforcement Learning Charles Packer Katelyn Gao Jernej Kos Philipp Krahenbuhl V. Koltun D. Song OffRL 107 237 0 29 Oct 2018
Safely Learning to Control the Constrained Linear Quadratic Regulator Sarah Dean Stephen Tu Nikolai Matni Benjamin Recht 45 139 0 26 Sep 2018
A Tour of Reinforcement Learning: The View from Continuous Control Benjamin Recht 118 626 0 25 Jun 2018
A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning Amy Zhang Nicolas Ballas Joelle Pineau CLL OffRL 86 179 0 20 Jun 2018
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots Jie Tan Tingnan Zhang Erwin Coumans Atil Iscen Yunfei Bai Danijar Hafner Steven Bohez Vincent Vanhoucke 91 803 0 27 Apr 2018
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning Anusha Nagabandi I. Clavera Simin Liu R. Fearing Pieter Abbeel Sergey Levine Chelsea Finn 117 548 0 30 Mar 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 299 8,334 0 04 Jan 2018
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 116 1,951 0 19 Sep 2017
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning I. Higgins Arka Pal Andrei A. Rusu Loic Matthey Christopher P. Burgess Alexander Pritzel M. Botvinick Charles Blundell Alexander Lerchner DRL 104 415 0 26 Jul 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 478 19,019 0 20 Jul 2017
Reinforcement Learning under Model Mismatch Aurko Roy Huan Xu Sebastian Pokutta OOD 48 80 0 15 Jun 2017
Safe Model-based Reinforcement Learning with Stability Guarantees Felix Berkenkamp M. Turchetta Angela P. Schoellig Andreas Krause 176 851 0 23 May 2017
Robust Adversarial Reinforcement Learning Lerrel Pinto James Davidson Rahul Sukthankar Abhinav Gupta OOD 93 854 0 08 Mar 2017
Towards Generalization and Simplicity in Continuous Control Aravind Rajeswaran Kendall Lowrey E. Todorov Sham Kakade OffRL 88 276 0 08 Mar 2017
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles Aravind Rajeswaran Sarvjeet Ghotra Balaraman Ravindran Sergey Levine 165 351 0 05 Oct 2016
Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel OffRL 79 1,693 0 22 Apr 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 318 13,237 0 09 Sep 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 90 3,406 0 08 Jun 2015