Multiplicative Controller Fusion: Leveraging Algorithmic Priors for
Sample-efficient Reinforcement Learning and Safe Sim-To-Real Transfer

Multiplicative Controller Fusion: Leveraging Algorithmic Priors for Sample-efficient Reinforcement Learning and Safe Sim-To-Real Transfer

11 March 2020

Vibhavari Dasagi

Michael Milford

Niko Sünderhauf

Papers citing "Multiplicative Controller Fusion: Leveraging Algorithmic Priors for Sample-efficient Reinforcement Learning and Safe Sim-To-Real Transfer"

17 / 17 papers shown

Title
Policies Modulating Trajectory Generators Atil Iscen Ken Caluwaerts Jie Tan Tingnan Zhang Erwin Coumans Vikas Sindhwani Vincent Vanhoucke 63 132 0 07 Oct 2019
Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments Krishan Rana Ben Talbot Vibhavari Dasagi Michael Milford Niko Sünderhauf 58 22 0 24 Sep 2019
Combining Optimal Control and Learning for Visual Navigation in Novel Environments Somil Bansal Varun Tolani Saurabh Gupta Jitendra Malik Claire Tomlin 48 164 0 06 Mar 2019
Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning Linhai Xie Sen Wang Stefano Rosa Andrew Markham A. Trigoni OffRL 72 80 0 12 Dec 2018
Safe Reinforcement Learning with Model Uncertainty Estimates Björn Lütjens Michael Everett Jonathan P. How 68 168 0 19 Oct 2018
On Evaluation of Embodied Navigation Agents Peter Anderson Angel X. Chang Devendra Singh Chaplot Alexey Dosovitskiy Saurabh Gupta ... Jana Kosecka Jitendra Malik Roozbeh Mottaghi Manolis Savva Amir Zamir 115 798 0 18 Jul 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 224 1,277 0 30 May 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
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations Aravind Rajeswaran Vikash Kumar Abhishek Gupta Giulia Vezzani John Schulman E. Todorov Sergey Levine 139 1,094 0 28 Sep 2017
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards Matej Vecerík Todd Hester Jonathan Scholz Fumin Wang Olivier Pietquin Bilal Piot N. Heess Thomas Rothörl Thomas Lampe Martin Riedmiller OffRL 78 665 0 27 Jul 2017
Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation L. Tai Giuseppe Paolo Ming-Yuan Liu 84 711 0 01 Mar 2017
Uncertainty-Aware Reinforcement Learning for Collision Avoidance G. Kahn Adam R. Villaflor Vitchyr H. Pong Pieter Abbeel Sergey Levine 96 313 0 03 Feb 2017
From Perception to Decision: A Data-driven Approach to End-to-end Motion Planning for Autonomous Ground Robots Mark Pfeiffer Michaela Schaeuble Juan I. Nieto Roland Siegwart Cesar Cadena 75 382 0 26 Sep 2016
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning Yuke Zhu Roozbeh Mottaghi Eric Kolve Joseph J. Lim Abhinav Gupta Li Fei-Fei Ali Farhadi VGen 66 1,524 0 16 Sep 2016
Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age Cesar Cadena Luca Carlone Henry Carrillo Yasir Latif Davide Scaramuzza José Neira Ian Reid J. Leonard 103 2,917 0 19 Jun 2016
Deep Neural Network for Real-Time Autonomous Indoor Navigation Dong Ki Kim Tsuhan Chen 3DPC 52 117 0 15 Nov 2015
Learning Monocular Reactive UAV Control in Cluttered Natural Environments Stéphane Ross Narek Melik-Barkhudarov Kumar Shaurya Shankar Andreas Wendel Debadeepta Dey J. Andrew Bagnell M. Hebert 111 438 0 07 Nov 2012