Value Iteration Networks

9 February 2016

Pieter Abbeel

Papers citing "Value Iteration Networks"

44 / 144 papers shown

Title
Concept Learning with Energy-Based Models William J. Wilkinson 30 25 0 06 Nov 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 48 553 0 12 Oct 2018
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies Homanga Bharadhwaj Zihan Wang Yoshua Bengio Liam Paull 24 40 0 11 Oct 2018
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks Fabio Pardo Vitaly Levdik Petar Kormushev 25 4 0 06 Oct 2018
Learning Navigation Behaviors End-to-End with AutoRL H. Chiang Aleksandra Faust Marek Fiser Anthony G. Francis 27 234 0 26 Sep 2018
Combined Reinforcement Learning via Abstract Representations Vincent François-Lavet Yoshua Bengio Doina Precup Joelle Pineau OffRL 30 89 0 12 Sep 2018
Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning Shang-Yu Su Xiujun Li Jianfeng Gao Jingjing Liu Yun-Nung Chen OffRL 27 67 0 28 Aug 2018
On the Complexity of Value Iteration N. Balaji S. Kiefer Petr Novotný G. Pérez M. Shirmohammadi 21 14 0 13 Jul 2018
Gated Path Planning Networks Lisa Lee Emilio Parisotto Devendra Singh Chaplot Eric Xing Ruslan Salakhutdinov 32 81 0 17 Jun 2018
Learning an Approximate Model Predictive Controller with Guarantees Michael Hertneck Johannes Köhler Sebastian Trimpe Frank Allgöwer 37 221 0 11 Jun 2018
Deep Variational Reinforcement Learning for POMDPs Maximilian Igl L. Zintgraf T. Le Frank Wood Shimon Whiteson BDL OffRL 23 259 0 06 Jun 2018
Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors Rico Jonschkowski Divyam Rastogi Oliver Brock 32 135 0 28 May 2018
Object-Oriented Dynamics Predictor Guangxiang Zhu Zhiao Huang Chongjie Zhang AI4CE 24 36 0 25 May 2018
Particle Filter Networks with Application to Visual Localization Peter Karkus David Hsu Wee Sun Lee 3DPC 27 117 0 23 May 2018
FollowNet: Robot Navigation by Following Natural Language Directions with Deep Reinforcement Learning Pararth Shah Marek Fiser Aleksandra Faust J. Kew Dilek Z. Hakkani-Tür 19 52 0 16 May 2018
Visual Representations for Semantic Target Driven Navigation Arsalan Mousavian Alexander Toshev Marek Fiser Jana Kosecka Ayzaan Wahid James Davidson 22 201 0 15 May 2018
Estimate and Replace: A Novel Approach to Integrating Deep Neural Networks with Existing Applications Guy Hadash Einat Kermany Boaz Carmeli Ofer Lavi George Kour Alon Jacovi AI4TS 27 42 0 24 Apr 2018
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 17 522 0 18 Apr 2018
Universal Planning Networks A. Srinivas Allan Jabri Pieter Abbeel Sergey Levine Chelsea Finn SSL 30 145 0 02 Apr 2018
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation Xin Eric Wang Wenhan Xiong Hongmin Wang William Yang Wang 33 199 0 21 Mar 2018
Learning Robotic Assembly from CAD G. Thomas Melissa Chien Aviv Tamar J. A. Ojea Pieter Abbeel 23 150 0 20 Mar 2018
Occupancy Map Prediction Using Generative and Fully Convolutional Networks for Vehicle Navigation Kapil D. Katyal K. Popek Chris Paxton Joseph L. Moore Kevin C. Wolfe Philippe Burlina Gregory Hager GAN 27 12 0 06 Mar 2018
Structured Control Nets for Deep Reinforcement Learning Mario Srouji Jian Zhang Ruslan Salakhutdinov 33 43 0 22 Feb 2018
Sample-Efficient Reinforcement Learning through Transfer and Architectural Priors Benjamin Spector Serge J. Belongie OffRL 16 15 0 07 Jan 2018
Building Generalizable Agents with a Realistic and Rich 3D Environment Yi Wu Yuxin Wu Georgia Gkioxari Yuandong Tian 3DV 64 338 0 07 Jan 2018
Unifying Map and Landmark Based Representations for Visual Navigation Saurabh Gupta David Fouhey Sergey Levine Jitendra Malik 29 76 0 21 Dec 2017
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning Gregory Farquhar Tim Rocktaschel Maximilian Igl Shimon Whiteson OffRL 25 71 0 31 Oct 2017
Learning Generalized Reactive Policies using Deep Neural Networks E. Groshev Maxwell Goldstein Aviv Tamar Siddharth Srivastava Pieter Abbeel 11 119 0 24 Aug 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 65 2,780 0 19 Aug 2017
Grounding Language for Transfer in Deep Reinforcement Learning Karthik Narasimhan Regina Barzilay Tommi Jaakkola LM&Ro OffRL 35 25 0 01 Aug 2017
Imagination-Augmented Agents for Deep Reinforcement Learning T. Weber S. Racanière David P. Reichert Lars Buesing A. Guez ... Razvan Pascanu Peter W. Battaglia Demis Hassabis David Silver Daan Wierstra LM&Ro 54 551 0 19 Jul 2017
Neural SLAM: Learning to Explore with External Memory Jingwei Zhang L. Tai Ming Liu Joschka Boedecker Wolfram Burgard 22 71 0 29 Jun 2017
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics Ken Kansky Tom Silver David A. Mély Mohamed Eldawy Miguel Lazaro-Gredilla Xinghua Lou N. Dorfman Szymon Sidor Scott Phoenix Dileep George AI4CE 37 230 0 14 Jun 2017
Generalized Value Iteration Networks: Life Beyond Lattices Sufeng Niu Siheng Chen Hanyu Guo Colin Targonski M. C. Smith J. Kovacevic GNN 27 53 0 08 Jun 2017
Deriving Neural Architectures from Sequence and Graph Kernels Tao Lei Wengong Jin Regina Barzilay Tommi Jaakkola GNN 45 137 0 25 May 2017
Automatic Goal Generation for Reinforcement Learning Agents Carlos Florensa David Held Xinyang Geng Pieter Abbeel 78 499 0 17 May 2017
Metacontrol for Adaptive Imagination-Based Optimization Jessica B. Hamrick A. J. Ballard Razvan Pascanu Oriol Vinyals N. Heess Peter W. Battaglia 27 69 0 07 May 2017
QMDP-Net: Deep Learning for Planning under Partial Observability Peter Karkus David Hsu Wee Sun Lee PINN 29 156 0 20 Mar 2017
Learning Active Learning from Data Ksenia Konyushkova Raphael Sznitman Pascal Fua 14 299 0 09 Mar 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,505 0 25 Jan 2017
The Predictron: End-To-End Learning and Planning David Silver H. V. Hasselt Matteo Hessel Tom Schaul A. Guez ... Gabriel Dulac-Arnold David P. Reichert Neil C. Rabinowitz André Barreto T. Degris 23 289 0 28 Dec 2016
Exploration for Multi-task Reinforcement Learning with Deep Generative Models Sai Praveen Bangaru J. S. Suhas Balaraman Ravindran 21 7 0 29 Nov 2016
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics J. M. Wong 27 11 0 01 Nov 2016
Learning from the Hindsight Plan -- Episodic MPC Improvement Aviv Tamar G. Thomas Tianhao Zhang Sergey Levine Pieter Abbeel 32 65 0 28 Sep 2016