VUSFA:Variational Universal Successor Features Approximator to Improve
Transfer DRL for Target Driven Visual Navigation

VUSFA:Variational Universal Successor Features Approximator to Improve Transfer DRL for Target Driven Visual Navigation

18 August 2019

Shamane Siriwardhana

Rivindu Weerasekera

Denys J. C. Matthies

Suranga Nanayakkara

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Papers citing "VUSFA:Variational Universal Successor Features Approximator to Improve Transfer DRL for Target Driven Visual Navigation"

17 / 17 papers shown

Title
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 535 10,591 0 17 Feb 2020
Universal Successor Features for Transfer Reinforcement Learning Chen Ma Dylan R. Ashley Junfeng Wen Yoshua Bengio OffRL 53 26 0 05 Jan 2020
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement André Barreto Diana Borsa John Quan Tom Schaul David Silver Matteo Hessel D. Mankowitz Augustin Žídek Rémi Munos OffRL 115 164 0 30 Jan 2019
Universal Successor Features Approximators Diana Borsa André Barreto John Quan D. Mankowitz Rémi Munos H. V. Hasselt David Silver Tom Schaul 81 117 0 18 Dec 2018
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow Xue Bin Peng Angjoo Kanazawa Sam Toyer Pieter Abbeel Sergey Levine 93 216 0 01 Oct 2018
CrowdMove: Autonomous Mapless Navigation in Crowded Scenarios Tingxiang Fan Xinjing Cheng Jia Pan Tianyi Zhou Ruigang Yang 68 52 0 19 Jul 2018
Universal Successor Representations for Transfer Reinforcement Learning Chen Ma Junfeng Wen Yoshua Bengio OffRL 38 33 0 11 Apr 2018
Learning to Navigate in Cities Without a Map Piotr Wojciech Mirowski Matthew Koichi Grimes Mateusz Malinowski Karl Moritz Hermann Keith Anderson Denis Teplyashin Karen Simonyan Koray Kavukcuoglu Andrew Zisserman R. Hadsell SSL HAI 101 320 0 31 Mar 2018
AI2-THOR: An Interactive 3D Environment for Visual AI Eric Kolve Roozbeh Mottaghi Winson Han Eli VanderBilt Luca Weihs ... Daniel Gordon Yuke Zhu Aniruddha Kembhavi Abhinav Gupta Ali Farhadi LM&Ro 86 1,111 0 14 Dec 2017
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments Jingwei Zhang Jost Tobias Springenberg Joschka Boedecker Wolfram Burgard 74 295 0 16 Dec 2016
Deep Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon Kevin Patrick Murphy 130 1,728 0 01 Dec 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 79 1,527 0 16 Sep 2016
Successor Features for Transfer in Reinforcement Learning André Barreto Will Dabney Rémi Munos Jonathan J. Hunt Tom Schaul H. V. Hasselt David Silver 47 577 0 16 Jun 2016
Deep Successor Reinforcement Learning Tejas D. Kulkarni A. Saeedi Simanta Gautam S. Gershman 74 209 0 08 Jun 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 210 8,881 0 04 Feb 2016
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 220 1,595 0 09 Mar 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 132 12,272 0 19 Dec 2013