Value Iteration Networks

9 February 2016

Pieter Abbeel

Papers citing "Value Iteration Networks"

47 / 97 papers shown

Title
Model-Augmented Actor-Critic: Backpropagating through Paths I. Clavera Yao Fu Pieter Abbeel 33 86 0 16 May 2020
Plan2Vec: Unsupervised Representation Learning by Latent Plans Ge Yang Amy Zhang Ari S. Morcos Joelle Pineau Pieter Abbeel Roberto Calandra SSL OffRL 21 27 0 07 May 2020
Transferable Task Execution from Pixels through Deep Planning Domain Learning Kei Kase Chris Paxton H. Mazhar T. Ogata D. Fox 147 45 0 08 Mar 2020
Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning Sammy Christen Lukás Jendele Emre Aksan Otmar Hilliges OffRL 17 25 0 14 Feb 2020
Learning Your Way Without Map or Compass: Panoramic Target Driven Visual Navigation David Watkins-Valls Jingxi Xu Nicholas R. Waytowich Peter K. Allen SSL 25 15 0 20 Sep 2019
Off-road Autonomous Vehicles Traversability Analysis and Trajectory Planning Based on Deep Inverse Reinforcement Learning Zeyu Zhu Nan Li Ruoyu Sun Huijing Zhao Donghao Xu 14 32 0 16 Sep 2019
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners A. H. Qureshi Yinglong Miao Anthony Simeonov Michael C. Yip PINN 3DV 25 212 0 13 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum G. Konidaris 24 355 0 06 Jul 2019
Growing Action Spaces Gregory Farquhar Laura Gustafson Zeming Lin Shimon Whiteson Nicolas Usunier Gabriel Synnaeve 11 37 0 28 Jun 2019
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations Qiaoyun Wu Dinesh Manocha Jun Wang Kai Xu 10 15 0 17 Jun 2019
Deep Reinforcement Learning for Cyber Security Thanh Thi Nguyen Vijay Janapa Reddi OffRL AI4CE 10 312 0 13 Jun 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 13 284 0 12 Jun 2019
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies Yonathan Efroni Nadav Merlis Mohammad Ghavamzadeh Shie Mannor OffRL 14 67 0 27 May 2019
Deep Local Trajectory Replanning and Control for Robot Navigation Ashwini Pokle Roberto Martín-Martín P. Goebel Vincent Chow H. Ewald ... Zhenkai Wang Amir Sadeghian Dorsa Sadigh Silvio Savarese Marynel Vázquez 13 62 0 13 May 2019
Towards Learning Abstract Representations for Locomotion Planning in High-dimensional State Spaces Tobias Klamt Sven Behnke 13 10 0 06 Mar 2019
Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees Binghong Chen Bo Dai Qinjie Lin Guo Ye Han Liu Le Song 21 51 0 28 Feb 2019
Size Independent Neural Transfer for RDDL Planning Sankalp Garg Aniket Bajpai Mausam OffRL 11 41 0 08 Feb 2019
Variational End-to-End Navigation and Localization Alexander Amini Guy Rosman S. Karaman Daniela Rus 14 111 0 25 Nov 2018
Concept Learning with Energy-Based Models William J. Wilkinson 22 25 0 06 Nov 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 30 549 0 12 Oct 2018
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks Fabio Pardo Vitaly Levdik Petar Kormushev 17 4 0 06 Oct 2018
Combined Reinforcement Learning via Abstract Representations Vincent François-Lavet Yoshua Bengio Doina Precup Joelle Pineau OffRL 24 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 (Vivian) Chen OffRL 25 67 0 28 Aug 2018
On the Complexity of Value Iteration N. Balaji S. Kiefer Petr Novotný G. Pérez M. Shirmohammadi 13 13 0 13 Jul 2018
Gated Path Planning Networks Lisa Lee Emilio Parisotto Devendra Singh Chaplot Eric P. Xing Ruslan Salakhutdinov 24 81 0 17 Jun 2018
Learning an Approximate Model Predictive Controller with Guarantees Michael Hertneck Johannes Köhler Sebastian Trimpe Frank Allgöwer 29 219 0 11 Jun 2018
Deep Variational Reinforcement Learning for POMDPs Maximilian Igl L. Zintgraf T. Le Frank D. Wood Shimon Whiteson BDL OffRL 16 258 0 06 Jun 2018
Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors Rico Jonschkowski Divyam Rastogi Oliver Brock 18 135 0 28 May 2018
Object-Oriented Dynamics Predictor Guangxiang Zhu Zhiao Huang Chongjie Zhang AI4CE 19 36 0 25 May 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 28 198 0 21 Mar 2018
Learning Robotic Assembly from CAD G. Thomas Melissa Chien Aviv Tamar J. A. Ojea Pieter Abbeel 19 150 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 11 0 06 Mar 2018
Sample-Efficient Reinforcement Learning through Transfer and Architectural Priors Benjamin Spector Serge J. Belongie OffRL 9 15 0 07 Jan 2018
Building Generalizable Agents with a Realistic and Rich 3D Environment Yi Wu Yuxin Wu Georgia Gkioxari Yuandong Tian 3DV 50 338 0 07 Jan 2018
Unifying Map and Landmark Based Representations for Visual Navigation Saurabh Gupta David Fouhey Sergey Levine Jitendra Malik 19 76 0 21 Dec 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 40 547 0 19 Jul 2017
Neural SLAM: Learning to Explore with External Memory Jingwei Zhang L. Tai Ming-Yu Liu Joschka Boedecker Wolfram Burgard 8 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 19 53 0 08 Jun 2017
Deriving Neural Architectures from Sequence and Graph Kernels Tao Lei Wengong Jin Regina Barzilay Tommi Jaakkola GNN 42 137 0 25 May 2017
Automatic Goal Generation for Reinforcement Learning Agents Carlos Florensa David Held Xinyang Geng Pieter Abbeel 37 497 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 24 69 0 07 May 2017
QMDP-Net: Deep Learning for Planning under Partial Observability Peter Karkus David Hsu Wee Sun Lee PINN 22 156 0 20 Mar 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,502 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 16 288 0 28 Dec 2016
Exploration for Multi-task Reinforcement Learning with Deep Generative Models Sai Praveen Bangaru J. S. Suhas Balaraman Ravindran 10 7 0 29 Nov 2016
Learning from the Hindsight Plan -- Episodic MPC Improvement Aviv Tamar G. Thomas Tianhao Zhang Sergey Levine Pieter Abbeel 19 64 0 28 Sep 2016