Value Iteration Networks

9 February 2016

Pieter Abbeel

Papers citing "Value Iteration Networks"

50 / 144 papers shown

Title
ReaCritic: Large Reasoning Transformer-based DRL Critic-model Scaling For Heterogeneous Networks Feiran You Hongyang Du OffRL LRM 32 0 0 16 May 2025
DHP: Discrete Hierarchical Planning for Hierarchical Reinforcement Learning Agents Shashank Sharma Janina Hoffmann Vinay P. Namboodiri 96 0 0 04 Feb 2025
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps Linfeng Zhao Lawson L. S. Wong 84 1 0 16 Dec 2024
Generalizable Motion Planning via Operator Learning Sharath Matada Luke Bhan Yuanyuan Shi Nikolay Atanasov 38 0 0 23 Oct 2024
Learning to Select Goals in Automated Planning with Deep-Q Learning Carlos Núnez-Molina Juan Fernández-Olivares Raúl Pérez 36 10 0 20 Jun 2024
Highway Value Iteration Networks Yuhui Wang Weida Li Francesco Faccio Qingyuan Wu Jürgen Schmidhuber 50 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 29 21 0 17 Jan 2024
E(2)-Equivariant Graph Planning for Navigation Linfeng Zhao Hongyu Li T. Padır Huaizu Jiang Lawson L. S. Wong 27 6 0 22 Sep 2023
AI planning in the imagination: High-level planning on learned abstract search spaces Carlos Martin T. Sandholm 39 0 0 16 Aug 2023
Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning? Linfeng Zhao Owen Howell Jung Yeon Park Xu Zhu Robin Walters Lawson L. S. Wong 41 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 45 1 0 11 Jul 2023
Simplified Temporal Consistency Reinforcement Learning Yi Zhao Wenshuai Zhao Rinu Boney Arno Solin Joni Pajarinen OffRL 32 13 0 15 Jun 2023
Accelerating Value Iteration with Anchoring Jongmin Lee Ernest K. Ryu 24 7 0 26 May 2023
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making Carlos Núnez-Molina Pablo Mesejo Juan Fernández-Olivares 39 3 0 20 Apr 2023
Meta-Learned Models of Cognition Marcel Binz Ishita Dasgupta Akshay K. Jagadish M. Botvinick Jane X. Wang Eric Schulz 35 25 0 12 Apr 2023
Planning with Sequence Models through Iterative Energy Minimization Hongyi Chen Yilun Du Yiye Chen J. Tenenbaum Patricio A. Vela 32 6 0 28 Mar 2023
Learning How to Infer Partial MDPs for In-Context Adaptation and Exploration Chentian Jiang Nan Rosemary Ke Hado van Hasselt 16 3 0 08 Feb 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 31 4 0 24 Jan 2023
Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results Sergey Levine Dhruv Shah SSL 54 21 0 13 Dec 2022
Learning to Optimize in Model Predictive Control Jacob Sacks Byron Boots 37 22 0 05 Dec 2022
Learning Sampling Distributions for Model Predictive Control Jacob Sacks Byron Boots 18 21 0 05 Dec 2022
Continuous Neural Algorithmic Planners Yu He Petar Velivcković Pietro Lio Andreea Deac 34 5 0 29 Nov 2022
Reward Shaping Using Convolutional Neural Network Hani Sami Hadi Otrok Jamal Bentahar Azzam Mourad Ernesto Damiani 32 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 33 15 0 27 Oct 2022
Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks Chen-Ping Yu Sicun Gao 39 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 43 15 0 16 Oct 2022
Recurrent Convolutional Neural Networks Learn Succinct Learning Algorithms Surbhi Goel Sham Kakade Adam Tauman Kalai Cyril Zhang 34 1 0 01 Sep 2022
A model-based approach to meta-Reinforcement Learning: Transformers and tree search Brieuc Pinon Jean-Charles Delvenne Raphaël Jungers OffRL 40 3 0 24 Aug 2022
[Re] Differentiable Spatial Planning using Transformers R. Ranjan Himadri Bhakta Animesh Jha Parv Maheshwari Debashish Chakravarty 18 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 24 3 0 16 Aug 2022
[Reproducibility Report] Path Planning using Neural A* Search Shreyaa Bhatt Aayush Jain Parv Maheshwari Animesh Jha Debashish Chakravarty 28 1 0 16 Jul 2022
A Survey on Model-based Reinforcement Learning Fan Luo Tian Xu Hang Lai Xiong-Hui Chen Weinan Zhang Yang Yu OffRL LRM 53 101 0 19 Jun 2022
Integrating Symmetry into Differentiable Planning with Steerable Convolutions Linfeng Zhao Xu Zhu Lingzhi Kong Robin Walters Lawson L. S. Wong 26 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 29 5 0 06 Jun 2022
Chain of Thought Imitation with Procedure Cloning Mengjiao Yang Dale Schuurmans Pieter Abbeel Ofir Nachum OffRL 35 30 0 22 May 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 202 637 0 20 May 2022
NR-RRT: Neural Risk-Aware Near-Optimal Path Planning in Uncertain Nonconvex Environments Fei Meng Liangliang Chen Han Ma Jiankun Wang Max Meng 34 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 38 64 0 06 May 2022
Coarse-to-Fine Q-attention with Learned Path Ranking Stephen James Pieter Abbeel 32 15 0 04 Apr 2022
Learning-based Collision-free Planning on Arbitrary Optimization Criteria in the Latent Space through cGANs Tomoki Ando Hiroto Iino Hiroki Mori Ryota Torishima K. Takahashi Shoichiro Yamaguchi Daisuke Okanohara Tetsuya Ogata 16 5 0 26 Feb 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 38 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 32 5 0 22 Feb 2022
Navigating to Objects in Unseen Environments by Distance Prediction Minzhao Zhu Binglei Zhao Tao Kong 18 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 45 23 0 11 Oct 2021
Geometric Task Networks: Learning Efficient and Explainable Skill Coordination for Object Manipulation Meng Guo Mathias Bürger 35 9 0 18 Sep 2021
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution Valts Blukis Chris Paxton Dieter Fox Animesh Garg Yoav Artzi LM&Ro 214 135 0 12 Jul 2021
Learning Task Informed Abstractions Xiang Fu Ge Yang Pulkit Agrawal Tommi Jaakkola 34 65 0 29 Jun 2021
Distributed Heuristic Multi-Agent Path Finding with Communication Ziyuan Ma Yudong Luo Hang Ma 23 69 0 21 Jun 2021
Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks Avi Schwarzschild Eitan Borgnia Arjun Gupta Furong Huang U. Vishkin Micah Goldblum Tom Goldstein 24 74 0 08 Jun 2021