Value Iteration Networks

9 February 2016

Pieter Abbeel

Papers citing "Value Iteration Networks"

50 / 144 papers shown

Title
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation Evgenii Nikishin Romina Abachi Rishabh Agarwal Pierre-Luc Bacon OffRL 52 35 0 06 Jun 2021
PathBench: A Benchmarking Platform for Classical and Learned Path Planning Algorithms Alexandru Toma Hao-Ya Hsueh H. Jaafar Riku Murai Paul H. J. Kelly Sajad Saeedi 17 20 0 04 May 2021
One Model to Rule them All: Towards Zero-Shot Learning for Databases Benjamin Hilprecht Carsten Binnig VLM 32 33 0 03 May 2021
Waypoint Planning Networks Alexandru Toma H. Jaafar Hao-Ya Hsueh Stephen James Daniel Lenton R. Clark Sajad Saeedi 30 9 0 01 May 2021
Survey on reinforcement learning for language processing Víctor Uc Cetina Nicolás Navarro-Guerrero A. Martín-González C. Weber S. Wermter OffRL 31 101 0 12 Apr 2021
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL Iretiayo Akinola Zizhao Wang Peter K. Allen 37 2 0 24 Mar 2021
Differentiable Agent-Based Simulation for Gradient-Guided Simulation-Based Optimization Philipp Andelfinger 29 13 0 23 Mar 2021
Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter Freezing Charlie Blake Vitaly Kurin Maximilian Igl Shimon Whiteson AI4CE 21 13 0 01 Mar 2021
HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving Sirui Xie Xiaojian Ma Peiyu Yu Yixin Zhu Ying Nian Wu Song-Chun Zhu 42 20 0 22 Feb 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 37 352 0 18 Feb 2021
Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS Felix O. Olowononi D. Rawat Chunmei Liu 38 134 0 14 Feb 2021
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review Rongrong Liu F. Nageotte P. Zanne M. de Mathelin Birgitta Dresp 53 143 0 08 Feb 2021
Cost-to-Go Function Generating Networks for High Dimensional Motion Planning Jinwook Huh Volkan Isler Daniel D. Lee 3DV 41 20 0 10 Dec 2020
Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning Jung-Su Ha Young-Jin Park Hyeok-Joo Chae Soon-Seo Park Han-Lim Choi 35 3 0 16 Nov 2020
Learning a Decentralized Multi-arm Motion Planner Huy Ha Jingxi Xu Shuran Song 23 51 0 05 Nov 2020
Generative Temporal Difference Learning for Infinite-Horizon Prediction Michael Janner Igor Mordatch Sergey Levine AI4CE 23 34 0 27 Oct 2020
Improving Dialog Systems for Negotiation with Personality Modeling Runzhe Yang Jingxiao Chen Karthik Narasimhan 27 47 0 20 Oct 2020
Online Safety Assurance for Deep Reinforcement Learning Noga H. Rotman Michael Schapira Aviv Tamar OffRL 38 5 0 07 Oct 2020
Novelty Search in Representational Space for Sample Efficient Exploration Ruo Yu Tao Vincent François-Lavet Joelle Pineau 35 43 0 28 Sep 2020
Learning to plan with uncertain topological maps E. Beeching J. Dibangoye Olivier Simonin Christian Wolf 21 40 0 10 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning Kimin Lee Michael Laskin A. Srinivas Pieter Abbeel OffRL 25 199 0 09 Jul 2020
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image Danny Driess Jung-Su Ha Marc Toussaint LRM 15 100 0 09 Jun 2020
Learning Navigation Costs from Demonstration with Semantic Observations Tianyu Wang Vikas Dhiman Nikolay Atanasov 35 4 0 09 Jun 2020
Model-Augmented Actor-Critic: Backpropagating through Paths I. Clavera Yao Fu Pieter Abbeel 44 87 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 28 27 0 07 May 2020
Spatial Action Maps for Mobile Manipulation Jimmy Wu Xingyuan Sun Andy Zeng Shuran Song Johnny Lee Szymon Rusinkiewicz Thomas Funkhouser 24 71 0 20 Apr 2020
Transferable Task Execution from Pixels through Deep Planning Domain Learning Kei Kase Chris Paxton H. Mazhar T. Ogata Dieter Fox 147 45 0 08 Mar 2020
Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path Keita Ota Y. Sasaki Devesh K. Jha Yusuke Yoshiyasu Asako Kanezaki 27 18 0 03 Mar 2020
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions Elise van der Pol Thomas Kipf F. Oliehoek Max Welling 25 77 0 27 Feb 2020
Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning Sammy Christen Lukás Jendele Emre Aksan Otmar Hilliges OffRL 30 25 0 14 Feb 2020
Combining Q-Learning and Search with Amortized Value Estimates Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez Tobias Pfaff T. Weber Lars Buesing Peter W. Battaglia OffRL 27 47 0 05 Dec 2019
Learning Your Way Without Map or Compass: Panoramic Target Driven Visual Navigation David Watkins-Valls Jingxi Xu Nicholas R. Waytowich Peter K. Allen SSL 33 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 29 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 34 212 0 13 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 41 356 0 06 Jul 2019
Growing Action Spaces Gregory Farquhar Laura Gustafson Zeming Lin Shimon Whiteson Nicolas Usunier Gabriel Synnaeve 14 38 0 28 Jun 2019
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations Qiaoyun Wu Tianyi Zhou Jun Wang Kai Xu 16 15 0 17 Jun 2019
Deep Reinforcement Learning for Cyber Security Thanh Thi Nguyen Vijay Janapa Reddi OffRL AI4CE 10 313 0 13 Jun 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 32 286 0 12 Jun 2019
Differentiable Algorithm Networks for Composable Robot Learning Peter Karkus Xiao Ma David Hsu L. Kaelbling Wee Sun Lee Tomas Lozano-Perez 22 70 0 28 May 2019
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies Yonathan Efroni Nadav Merlis Mohammad Ghavamzadeh Shie Mannor OffRL 24 68 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 27 62 0 13 May 2019
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning Xinlei Pan Weiyao Wang Xiaoshuai Zhang Bo-wen Li Jinfeng Yi D. Song MIACV 69 26 0 24 Apr 2019
Towards Learning Abstract Representations for Locomotion Planning in High-dimensional State Spaces Tobias Klamt Sven Behnke 18 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 26 51 0 28 Feb 2019
Size Independent Neural Transfer for RDDL Planning Sankalp Garg Aniket Bajpai Mausam OffRL 19 41 0 08 Feb 2019
Benchmarking Classic and Learned Navigation in Complex 3D Environments Dmytro Mishkin Alexey Dosovitskiy V. Koltun 34 75 0 30 Jan 2019
Reward Shaping via Meta-Learning Haosheng Zou Tongzheng Ren Dong Yan Hang Su Jun Zhu OffRL 22 69 0 27 Jan 2019
PEARL: PrEference Appraisal Reinforcement Learning for Motion Planning Aleksandra Faust H. Chiang Lydia Tapia 27 3 0 30 Nov 2018
Variational End-to-End Navigation and Localization Alexander Amini Guy Rosman S. Karaman Daniela Rus 22 111 0 25 Nov 2018