Planning with Goal-Conditioned Policies

19 November 2019

Papers citing "Planning with Goal-Conditioned Policies"

50 / 58 papers shown

Title
CHD: Coupled Hierarchical Diffusion for Long-Horizon Tasks Ce Hao Anxing Xiao Zhiwei Xue Harold Soh 46 0 0 12 May 2025
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following Vivek Myers Bill Chunyuan Zheng Anca Dragan Kuan Fang Sergey Levine 65 0 0 08 Feb 2025
CORD: Generalizable Cooperation via Role Diversity Kanefumi Matsuyama Kefan Su Jiangxing Wang Deheng Ye Zongqing Lu 40 0 0 04 Jan 2025
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations Cevahir Köprülü Po-han Li Tianyu Qiu Ruihan Zhao T. Westenbroek David Fridovich-Keil Sandeep P. Chinchali Ufuk Topcu OffRL 92 0 0 02 Dec 2024
Few-Shot Task Learning through Inverse Generative Modeling Aviv Netanyahu Yilun Du Antonia Bronars Jyothish Pari J. Tenenbaum Tianmin Shu Pulkit Agrawal 51 1 0 07 Nov 2024
OGBench: Benchmarking Offline Goal-Conditioned RL Seohong Park Kevin Frans Benjamin Eysenbach Sergey Levine OffRL 50 8 0 26 Oct 2024
FoAM: Foresight-Augmented Multi-Task Imitation Policy for Robotic Manipulation Litao Liu Wentao Wang Yifan Han Zhuoli Xie Pengfei Yi Junyan Li Yi Qin Wenzhao Lian 37 2 0 29 Sep 2024
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction Anthony GX-Chen Kenneth Marino Rob Fergus OCL 56 1 0 21 Aug 2024
TSPDiffuser: Diffusion Models as Learned Samplers for Traveling Salesperson Path Planning Problems Ryo Yonetani 42 1 0 05 Jun 2024
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets Haoran He C. Chang Huazhe Xu Ling Pan 89 6 0 03 Jun 2024
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning Hyungho Na IL-Chul Moon 43 1 0 30 May 2024
Solving Sequential Manipulation Puzzles by Finding Easier Subproblems Svetlana Levit Joaquim Ortiz de Haro Marc Toussaint 32 4 0 03 May 2024
Hybrid Search for Efficient Planning with Completeness Guarantees Kalle Kujanpää Joni Pajarinen Alexander Ilin 27 3 0 19 Oct 2023
Universal Visual Decomposer: Long-Horizon Manipulation Made Easy Zichen Zhang Yunshuang Li Osbert Bastani Abhishek Gupta Dinesh Jayaraman Yecheng Jason Ma Luca Weihs 37 17 0 12 Oct 2023
Goal-Conditioned Reinforcement Learning with Disentanglement-based Reachability Planning Zhifeng Qian Mingyu You Hongjun Zhou Xuanhui Xu Bin He 26 3 0 20 Jul 2023
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback Hang Wang Sen Lin Junshan Zhang 19 19 0 20 Jun 2023
On the Value of Myopic Behavior in Policy Reuse Kang Xu Chenjia Bai Shuang Qiu Haoran He Bin Zhao Zhen Wang Wei Li Xuelong Li 26 1 0 28 May 2023
Efficient Quality-Diversity Optimization through Diverse Quality Species Ryan Wickman Bibek Poudel Taylor Michael Villarreal Xiaofei Zhang Weizi Li 33 6 0 14 Apr 2023
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping Lina Mezghani Sainbayar Sukhbaatar Piotr Bojanowski A. Lazaric Alahari Karteek OffRL 41 18 0 05 Jan 2023
Offline Reinforcement Learning for Visual Navigation Dhruv Shah Arjun Bhorkar Hrish Leen Ilya Kostrikov Nicholas Rhinehart Sergey Levine OffRL 24 29 0 16 Dec 2022
Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results Sergey Levine Dhruv Shah SSL 34 21 0 13 Dec 2022
Automatic Evaluation of Excavator Operators using Learned Reward Functions Pranav Agarwal M. Teichmann Sheldon Andrews Samira Ebrahimi Kahou OffRL 27 2 0 15 Nov 2022
Control Transformer: Robot Navigation in Unknown Environments through PRM-Guided Return-Conditioned Sequence Modeling Daniel Lawson A. H. Qureshi 24 7 0 11 Nov 2022
Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration Alexandre Chenu Olivier Serris Olivier Sigaud Nicolas Perrin-Gilbert 17 4 0 09 Nov 2022
Humans decompose tasks by trading off utility and computational cost Carlos G. Correa Mark K. Ho Frederick Callaway Nathaniel D. Daw Thomas L. Griffiths 13 33 0 07 Nov 2022
Latent Plans for Task-Agnostic Offline Reinforcement Learning Erick Rosete-Beas Oier Mees Gabriel Kalweit Joschka Boedecker Wolfram Burgard OffRL 30 81 0 19 Sep 2022
Deriving time-averaged active inference from control principles Eli Sennesh J. Theriault Jan-Willem van de Meent L. F. Barrett K. Quigley AI4TS AI4CE 24 3 0 22 Aug 2022
Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks David M. Klee Ondrej Biza Robert W. Platt OffRL 24 1 0 22 Jul 2022
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning Yunfei Li Tian Gao Jiaqi Yang Huazhe Xu Yi Wu OffRL 19 22 0 24 Jun 2022
Walk the Random Walk: Learning to Discover and Reach Goals Without Supervision Lina Mezghani Sainbayar Sukhbaatar Piotr Bojanowski Alahari Karteek 29 4 0 23 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 25 139 0 15 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 21 5 0 06 Jun 2022
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space Kuan Fang Patrick Yin Ashvin Nair Sergey Levine OffRL 52 29 0 17 May 2022
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning Philippe Hansen-Estruch Amy Zhang Ashvin Nair Patrick Yin Sergey Levine AI4CE 26 27 0 27 Apr 2022
Divide & Conquer Imitation Learning Alexandre Chenu Nicolas Perrin-Gilbert Olivier Sigaud 10 5 0 15 Apr 2022
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools Xingyu Lin Zhiao Huang Yunzhu Li J. Tenenbaum David Held Chuang Gan 30 72 0 31 Mar 2022
Goal-directed Planning and Goal Understanding by Active Inference: Evaluation Through Simulated and Physical Robot Experiments Takazumi Matsumoto Wataru Ohata Fabien C. Y. Benureau Jun Tani 18 11 0 21 Feb 2022
Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement Learning Keuntaek Lee David Isele Evangelos A. Theodorou S. Bae 24 24 0 17 Jan 2022
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics Ingmar Schubert Danny Driess Ozgur S. Oguz Marc Toussaint OffRL 22 1 0 15 Nov 2021
Learning Stochastic Shortest Path with Linear Function Approximation Steffen Czolbe Jiafan He Adrian V. Dalca Quanquan Gu 39 30 0 25 Oct 2021
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks Tianjun Zhang Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine Joseph E. Gonzalez OffRL 34 16 0 22 Oct 2021
Planning from Pixels in Environments with Combinatorially Hard Search Spaces Marco Bagatella Miroslav Olsák Michal Rolínek Georg Martius OffRL 21 6 0 12 Oct 2021
Search-Based Task Planning with Learned Skill Effect Models for Lifelong Robotic Manipulation Jacky Liang Mohit Sharma A. LaGrassa Shivam Vats Saumya Saxena Oliver Kroemer 67 31 0 17 Sep 2021
UMPNet: Universal Manipulation Policy Network for Articulated Objects Zhenjia Xu Zhanpeng He Shuran Song PINN 16 84 0 13 Sep 2021
Risk Conditioned Neural Motion Planning Xin Huang Meng Feng A. Jasour Guy Rosman B. Williams 19 6 0 04 Aug 2021
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning Yuexiang Zhai Christina Baek Zhengyuan Zhou Jiantao Jiao Yi Ma 19 22 0 08 Jul 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals Elliot Chane-Sane Cordelia Schmid Ivan Laptev 19 139 0 01 Jul 2021
TempoRL: Learning When to Act André Biedenkapp Raghunandan Rajan Frank Hutter Marius Lindauer OffRL 13 27 0 09 Jun 2021
Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps Chengguang Xu Chris Amato Lawson L. S. Wong 20 6 0 07 Jun 2021
gComm: An environment for investigating generalization in Grounded Language Acquisition Rishi Hazra Sonu Dixit 23 0 0 09 May 2021