Guided Imitation of Task and Motion Planning

6 December 2021

Papers citing "Guided Imitation of Task and Motion Planning"

21 / 21 papers shown

Title
Automated Planning Domain Inference for Task and Motion Planning Jinbang Huang Allen Tao Rozilyn Marco Miroslav Bogdanovic Jonathan Kelly Florian Shkurti 52 1 0 21 Oct 2024
The Robot Household Marathon Experiment Gayane Kazhoyan Simon Stelter Franklin Kenghagho Kenfack Sebastian Koralewski Michael Beetz 27 30 0 19 Nov 2020
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning Yuke Zhu J. Wong Ajay Mandlekar Roberto Martín-Martín Abhishek Joshi Soroush Nasiriany Yifeng Zhu Soroush Nasiriany Yifeng Zhu 148 438 0 25 Sep 2020
dm_control: Software and Tasks for Continuous Control Yuval Tassa S. Tunyasuvunakool Alistair Muldal Yotam Doron Piotr Trochim ... Steven Bohez J. Merel Tom Erez Timothy Lillicrap N. Heess LM&Ro 66 403 0 22 Jun 2020
Transferable Task Execution from Pixels through Deep Planning Domain Learning Kei Kase Chris Paxton H. Mazhar T. Ogata Dieter Fox 164 45 0 08 Mar 2020
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data Ajay Mandlekar Fabio Ramos Byron Boots Silvio Savarese Li Fei-Fei Animesh Garg Dieter Fox OffRL 59 117 0 13 Nov 2019
Solving Rubik's Cube with a Robot Hand OpenAI Ilge Akkaya Marcin Andrychowicz Maciek Chociej Ma-teusz Litwin ... Peter Welinder Lilian Weng Qiming Yuan Wojciech Zaremba Lei Zhang ODL 73 1,215 0 16 Oct 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning Alexander C. Li Carlos Florensa I. Clavera Pieter Abbeel 40 73 0 13 Jun 2019
RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation Mehdi Letafati Yuke Zhu Animesh Garg Jonathan Booher Max Spero ... John Emmons Anchit Gupta Emre Orbay Silvio Savarese Li Fei-Fei OffRL 75 290 0 07 Nov 2018
One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks Tianhe Yu Pieter Abbeel Sergey Levine Chelsea Finn 44 68 0 25 Oct 2018
Learning to guide task and motion planning using score-space representation Beomjoon Kim Zi Wang L. Kaelbling Tomas Lozano-Perez 41 90 0 26 Jul 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 87 803 0 21 May 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 227 8,236 0 04 Jan 2018
Learning Generalized Reactive Policies using Deep Neural Networks E. Groshev Maxwell Goldstein Aviv Tamar Siddharth Srivastava Pieter Abbeel 38 119 0 24 Aug 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 484 129,831 0 12 Jun 2017
Combining Neural Networks and Tree Search for Task and Motion Planning in Challenging Environments Chris Paxton Vasumathi Raman Gregory Hager Marin Kobilarov 51 123 0 22 Mar 2017
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 114 3,089 0 10 Jun 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 207 13,174 0 09 Sep 2015
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 235 3,418 0 02 Apr 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 245 6,722 0 19 Feb 2015
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 166 3,196 0 02 Nov 2010