TACO: Learning Task Decomposition via Temporal Alignment for Control

TACO: Learning Task Decomposition via Temporal Alignment for Control

2 March 2018

Markus Wulfmeier

Shimon Whiteson

Papers citing "TACO: Learning Task Decomposition via Temporal Alignment for Control"

19 / 19 papers shown

Title
DeformPAM: Data-Efficient Learning for Long-horizon Deformable Object Manipulation via Preference-based Action Alignment Wendi Chen Han Xue Fangyuan Zhou Yuan Fang Cewu Lu 39 1 0 15 Oct 2024
Learning a Hierarchical Planner from Humans in Multiple Generations Leonardo Hernandez Cano Yewen Pu Robert D. Hawkins Josh Tenenbaum Armando Solar-Lezama 21 2 0 17 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
CRISP: Curriculum inducing Primitive Informed Subgoal Prediction Utsav Singh Vinay P. Namboodiri 31 3 0 07 Apr 2023
COACH: Cooperative Robot Teaching Cunjun Yu Yiqing Xu Linfeng Li David Hsu 27 5 0 13 Feb 2023
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration Giulia Vezzani Dhruva Tirumala Markus Wulfmeier Dushyant Rao A. Abdolmaleki ... Tim Hertweck Thomas Lampe Fereshteh Sadeghi N. Heess Martin Riedmiller OffRL 28 6 0 24 Nov 2022
BITS: Bi-level Imitation for Traffic Simulation Danfei Xu Yuxiao Chen B. Ivanovic Marco Pavone 20 80 0 26 Aug 2022
Unsupervised Learning of Temporal Abstractions with Slot-based Transformers Anand Gopalakrishnan Kazuki Irie Jürgen Schmidhuber Sjoerd van Steenkiste OffRL 24 16 0 25 Mar 2022
Possibility Before Utility: Learning And Using Hierarchical Affordances Robby Costales Shariq Iqbal Fei Sha 18 5 0 23 Mar 2022
Bayesian Nonparametrics for Offline Skill Discovery Valentin Villecroze H. Braviner Panteha Naderian Chris J. Maddison G. Loaiza-Ganem BDL OffRL 16 8 0 09 Feb 2022
Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation Yifeng Zhu Peter Stone Yuke Zhu 45 59 0 28 Sep 2021
Generalization in Text-based Games via Hierarchical Reinforcement Learning Yunqiu Xu Meng Fang Ling Chen Yali Du Chengqi Zhang AI4CE 40 20 0 21 Sep 2021
Learning Task Decomposition with Ordered Memory Policy Network Yucheng Lu Yikang Shen Siyuan Zhou Aaron Courville J. Tenenbaum Chuang Gan 13 15 0 19 Mar 2021
AutoPreview: A Framework for Autopilot Behavior Understanding Yuan Shen Niviru Wijayaratne Peter Du Shanduojiao Jiang Katherine Driggs Campbell 19 8 0 25 Feb 2021
Data-efficient Hindsight Off-policy Option Learning Markus Wulfmeier Dushyant Rao Roland Hafner Thomas Lampe A. Abdolmaleki ... Michael Neunert Dhruva Tirumala Noah Y. Siegel N. Heess Martin Riedmiller OffRL 18 47 0 30 Jul 2020
Learning Robot Skills with Temporal Variational Inference Tanmay Shankar Abhinav Gupta DRL BDL 27 74 0 29 Jun 2020
Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning De-An Huang Danfei Xu Yuke Zhu Animesh Garg Silvio Savarese Fei-Fei Li Juan Carlos Niebles CLL 14 18 0 16 Aug 2019
One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks Tianhe Yu Pieter Abbeel Sergey Levine Chelsea Finn 11 68 0 25 Oct 2018
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information Arjun Sharma Mohit Sharma Nicholas Rhinehart Kris M. Kitani 16 68 0 29 Sep 2018