Driving Reinforcement Learning with Models

11 November 2019

Papers citing "Driving Reinforcement Learning with Models"

18 / 18 papers shown

Title
Control-Tutored Reinforcement Learning: an application to the Herding Problem F. D. Lellis Fabrizia Auletta G. Russo M. D. Bernardo 29 1 0 26 Nov 2019
Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems Boyi Liu Lujia Wang Ming-Yuan Liu 71 250 0 19 Jan 2019
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst Mayank Bansal A. Krizhevsky A. Ogale OOD 84 739 0 07 Dec 2018
Learn Fast, Forget Slow: Safe Predictive Learning Control for Systems with Unknown and Changing Dynamics Performing Repetitive Tasks Christopher D. McKinnon Angela P. Schoellig 33 41 0 15 Oct 2018
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations Mark Pfeiffer Samarth Shukla M. Turchetta Cesar Cadena Andreas Krause Roland Siegwart Juan I. Nieto 58 158 0 18 May 2018
Data-driven Policy Transfer with Imprecise Perception Simulation M. Pecka Karel Zimmermann Matěj Petrlík Tomáš Svoboda 54 11 0 05 Apr 2018
Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement Learning Michel Breyer Fadri Furrer Tonci Novkovic Roland Siegwart Juan I. Nieto SSL OffRL 52 47 0 13 Mar 2018
Model-Ensemble Trust-Region Policy Optimization Thanard Kurutach I. Clavera Yan Duan Aviv Tamar Pieter Abbeel 84 452 0 28 Feb 2018
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning Anusha Nagabandi G. Kahn R. Fearing Sergey Levine 91 974 0 08 Aug 2017
Safe Model-based Reinforcement Learning with Stability Guarantees Felix Berkenkamp M. Turchetta Angela P. Schoellig Andreas Krause 176 852 0 23 May 2017
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 382 441 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 533 1,410 0 01 Dec 2016
A Differentiable Physics Engine for Deep Learning in Robotics Jonas Degrave Michiel Hermans J. Dambre Francis Wyffels PINN AI4CE 64 229 0 05 Nov 2016
Learning Model Predictive Control for iterative tasks. A Data-Driven Control Framework Ugo Rosolia Francesco Borrelli 45 322 0 06 Sep 2016
Learning Physical Intuition of Block Towers by Example Adam Lerer Sam Gross Rob Fergus PINN 76 299 0 03 Mar 2016
Safe Exploration of State and Action Spaces in Reinforcement Learning Javier García Fernando Fernández 84 163 0 04 Feb 2014
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 127 12,231 0 19 Dec 2013
Risk-Sensitive Reinforcement Learning Applied to Control under Constraints Peter Geibel F. Wysotzki 84 317 0 09 Sep 2011