VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control

24 December 2018

Papers citing "VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control"

23 / 23 papers shown

Title
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 58 1,416 0 12 Nov 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization I. Clavera Jonas Rothfuss John Schulman Yasuhiro Fujita Tamim Asfour Pieter Abbeel 59 225 0 14 Sep 2018
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 54 540 0 12 Jul 2018
Playing Atari with Six Neurons Giuseppe Cuccu Julian Togelius Philippe Cudré-Mauroux 116 43 0 04 Jun 2018
Learning Real-World Robot Policies by Dreaming A. Piergiovanni Alan Wu Michael S. Ryoo 31 31 0 20 May 2018
World Models David R Ha Jürgen Schmidhuber SyDa 88 1,050 0 27 Mar 2018
Model-Ensemble Trust-Region Policy Optimization Thanard Kurutach I. Clavera Yan Duan Aviv Tamar Pieter Abbeel 33 450 0 28 Feb 2018
Temporal Difference Models: Model-Free Deep RL for Model-Based Control Vitchyr H. Pong S. Gu Murtaza Dalal Sergey Levine OffRL 84 238 0 25 Feb 2018
eCommerceGAN : A Generative Adversarial Network for E-commerce Ashutosh Kumar Arijit Biswas Subhajit Sanyal GAN 33 31 0 10 Jan 2018
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning Anusha Nagabandi G. Kahn R. Fearing Sergey Levine 64 967 0 08 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 185 18,685 0 20 Jul 2017
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control Sanket Kamthe M. Deisenroth 97 217 0 20 Jun 2017
Time-Varying Formation Controllers for Unmanned Aerial Vehicles Using Deep Reinforcement Learning Ronny Conde J. R. Llata C. Torre-Ferrero 27 12 0 05 Jun 2017
A Neural Representation of Sketch Drawings David R Ha Douglas Eck 53 863 0 11 Apr 2017
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning Yevgen Chebotar Karol Hausman Marvin Zhang Gaurav Sukhatme S. Schaal Sergey Levine 48 160 0 08 Mar 2017
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving Shai Shalev-Shwartz Shaked Shammah Amnon Shashua 25 828 0 11 Oct 2016
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles Aravind Rajeswaran Sarvjeet Ghotra Balaraman Ravindran Sergey Levine 89 349 0 05 Oct 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 162 5,048 0 05 Jun 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 281 18,300 0 27 May 2016
On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems Pei-hao Su Milica Gasic N. Mrksic L. Rojas-Barahona Stefan Ultes David Vandyke Tsung-Hsien Wen S. Young OffRL 48 170 0 24 May 2016
Learning Continuous Control Policies by Stochastic Value Gradients N. Heess Greg Wayne David Silver Timothy Lillicrap Yuval Tassa Tom Erez 75 560 0 30 Oct 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 221 6,722 0 19 Feb 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 321 16,972 0 20 Dec 2013