Value Iteration Networks

9 February 2016

Pieter Abbeel

Papers citing "Value Iteration Networks"

50 / 93 papers shown

Title
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps Linfeng Zhao Lawson L. S. Wong 74 1 0 16 Dec 2024
Generalizable Motion Planning via Operator Learning Sharath Matada Luke Bhan Yuanyuan Shi Nikolay Atanasov 25 0 0 23 Oct 2024
Learning to Select Goals in Automated Planning with Deep-Q Learning Carlos Núnez-Molina Juan Fernández-Olivares Raúl Pérez 28 10 0 20 Jun 2024
Highway Value Iteration Networks Yuhui Wang Weida Li Francesco Faccio Qingyuan Wu Jürgen Schmidhuber 32 2 0 05 Jun 2024
Bridging State and History Representations: Understanding Self-Predictive RL Tianwei Ni Benjamin Eysenbach Erfan Seyedsalehi Michel Ma Clement Gehring Aditya Mahajan Pierre-Luc Bacon AI4TS AI4CE 17 20 0 17 Jan 2024
E(2)-Equivariant Graph Planning for Navigation Linfeng Zhao Hongyu Li T. Padır Huaizu Jiang Lawson L. S. Wong 25 6 0 22 Sep 2023
Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning? Linfeng Zhao Owen Howell Jung Yeon Park Xu Zhu Robin G. Walters Lawson L. S. Wong 36 1 0 17 Jul 2023
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning Guy Azran Mohamad H. Danesh Stefano V. Albrecht Sarah Keren AI4CE 27 1 0 11 Jul 2023
Simplified Temporal Consistency Reinforcement Learning Yi Zhao Wenshuai Zhao Rinu Boney Juho Kannala J. Pajarinen OffRL 30 12 0 15 Jun 2023
Accelerating Value Iteration with Anchoring Jongmin Lee Ernest K. Ryu 11 7 0 26 May 2023
Meta-Learned Models of Cognition Marcel Binz Ishita Dasgupta A. Jagadish M. Botvinick Jane X. Wang Eric Schulz 28 24 0 12 Apr 2023
PushWorld: A benchmark for manipulation planning with tools and movable obstacles Ken Kansky Skanda Vaidyanath Scott Swingle Xinghua Lou Miguel Lazaro-Gredilla Dileep George 21 4 0 24 Jan 2023
Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results Sergey Levine Dhruv Shah SSL 24 21 0 13 Dec 2022
Continuous Neural Algorithmic Planners Yu He Petar Velivcković Pietro Lio' Andreea Deac 24 5 0 29 Nov 2022
Reward Shaping Using Convolutional Neural Network Hani Sami Hadi Otrok Jamal Bentahar Azzam Mourad Ernesto Damiani 19 3 0 30 Oct 2022
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision Ashvin Nair Brian Zhu Gokul Narayanan Eugen Solowjow Sergey Levine OffRL OnRL 23 14 0 27 Oct 2022
Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks Chen-Ping Yu Sicun Gao 24 47 0 17 Oct 2022
Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding Ruipeng Zhang Chenning Yu Jingkai Chen Chuchu Fan Sicun Gao AI4CE 33 15 0 16 Oct 2022
[Re] Differentiable Spatial Planning using Transformers R. Ranjan Himadri Bhakta Animesh Jha Parv Maheshwari Debashish Chakravarty 16 0 0 19 Aug 2022
Data-driven End-to-end Learning of Pole Placement Control for Nonlinear Dynamics via Koopman Invariant Subspaces Tomoharu Iwata Yoshinobu Kawahara 11 3 0 16 Aug 2022
A Survey on Model-based Reinforcement Learning Fan Luo Tian Xu Hang Lai Xiong-Hui Chen Weinan Zhang Yang Yu OffRL LRM 44 101 0 19 Jun 2022
Integrating Symmetry into Differentiable Planning with Steerable Convolutions Linfeng Zhao Xu Zhu Lingzhi Kong Robin G. Walters Lawson L. S. Wong 20 7 0 08 Jun 2022
Goal-Space Planning with Subgoal Models Chun-Ping Lo Kevin Roice Parham Mohammad Panahi Scott M. Jordan Adam White Gábor Mihucz Farzane Aminmansour Martha White 11 5 0 06 Jun 2022
Chain of Thought Imitation with Procedure Cloning Mengjiao Yang Dale Schuurmans Pieter Abbeel Ofir Nachum OffRL 30 29 0 22 May 2022
NR-RRT: Neural Risk-Aware Near-Optimal Path Planning in Uncertain Nonconvex Environments Fei Meng Liangliang Chen Han Ma Jiankun Wang M. Meng 23 19 0 14 May 2022
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation Maximilian Igl Daewoo Kim Alex Kuefler Paul Mougin Punit Shah K. Shiarlis Drago Anguelov Mark Palatucci Brandyn White Shimon Whiteson 30 64 0 06 May 2022
Coarse-to-Fine Q-attention with Learned Path Ranking Stephen James Pieter Abbeel 19 15 0 04 Apr 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 34 9 0 23 Feb 2022
Myriad: a real-world testbed to bridge trajectory optimization and deep learning Nikolaus H. R. Howe Simon Dufort-Labbé Nitarshan Rajkumar Pierre-Luc Bacon 24 5 0 22 Feb 2022
Navigating to Objects in Unseen Environments by Distance Prediction Minzhao Zhu Binglei Zhao Tao Kong 13 32 0 08 Feb 2022
Self-Consistent Models and Values Roy Miles Kate Baumli Zita Marinho Angelos Filos Matteo Hessel Hado van Hasselt David Silver 38 8 0 25 Oct 2021
Neural Algorithmic Reasoners are Implicit Planners Andreea Deac Petar Velivcković Ognjen Milinković Pierre-Luc Bacon Jian Tang Mladen Nikolic OffRL 32 23 0 11 Oct 2021
Geometric Task Networks: Learning Efficient and Explainable Skill Coordination for Object Manipulation Meng Guo Mathias Bürger 27 9 0 18 Sep 2021
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution Valts Blukis Chris Paxton D. Fox Animesh Garg Yoav Artzi LM&Ro 212 133 0 12 Jul 2021
Distributed Heuristic Multi-Agent Path Finding with Communication Ziyuan Ma Yudong Luo Hang Ma 15 69 0 21 Jun 2021
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation Evgenii Nikishin Romina Abachi Rishabh Agarwal Pierre-Luc Bacon OffRL 41 34 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 13 20 0 04 May 2021
One Model to Rule them All: Towards Zero-Shot Learning for Databases Benjamin Hilprecht Carsten Binnig VLM 24 33 0 03 May 2021
Waypoint Planning Networks Alexandru Toma H. Jaafar Hao-Ya Hsueh Stephen James Daniel Lenton R. Clark Sajad Saeedi 17 9 0 01 May 2021
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL Iretiayo Akinola Zizhao Wang Peter K. Allen 32 2 0 24 Mar 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 32 346 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 29 131 0 14 Feb 2021
Learning a Decentralized Multi-arm Motion Planner Huy Ha Jingxi Xu Shuran Song 13 51 0 05 Nov 2020
Online Safety Assurance for Deep Reinforcement Learning Noga H. Rotman Michael Schapira Aviv Tamar OffRL 36 5 0 07 Oct 2020
Novelty Search in Representational Space for Sample Efficient Exploration Ruo Yu Tao Vincent François-Lavet Joelle Pineau 14 43 0 28 Sep 2020
Learning to plan with uncertain topological maps E. Beeching J. Dibangoye Olivier Simonin Christian Wolf 19 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 11 199 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 13 100 0 09 Jun 2020
Model-Augmented Actor-Critic: Backpropagating through Paths I. Clavera Yao Fu Pieter Abbeel 27 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