Learning Parameterized Skills

27 June 2012

Papers citing "Learning Parameterized Skills"

31 / 31 papers shown

Title
Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics Yixuan Huang Christopher Agia Jimmy Wu Tucker Hermans Jeannette Bohg 3DPC 49 1 0 27 Aug 2024
Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction Aidan Curtis Nishanth Kumar Jing Cao Tomás Lozano-Pérez Leslie Pack Kaelbling 56 10 0 08 Jun 2024
Segment Anything A. Kirillov Eric Mintun Nikhila Ravi Hanzi Mao Chloe Rolland ... Spencer Whitehead Alexander C. Berg Wan-Yen Lo Piotr Dollár Ross B. Girshick MLLM VLM 93 6,839 0 05 Apr 2023
User-Conditioned Neural Control Policies for Mobile Robotics L. Bauersfeld Elia Kaufmann Davide Scaramuzza 29 6 0 22 Nov 2022
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale Kuang-Huei Lee Ted Xiao A. Li Paul Wohlhart Ian S. Fischer Yao Lu 51 10 0 15 Oct 2022
Does Zero-Shot Reinforcement Learning Exist? Ahmed Touati Jérémy Rapin Yann Ollivier OffRL 42 39 0 29 Sep 2022
Learning Neuro-Symbolic Skills for Bilevel Planning Tom Silver Ashay Athalye J. Tenenbaum Tomas Lozano-Perez L. Kaelbling 37 59 0 21 Jun 2022
Meta-Learning Parameterized Skills Haotian Fu Shangqun Yu Saket Tiwari Michael Littman George Konidaris 38 6 0 07 Jun 2022
Multi-Agent Policy Transfer via Task Relationship Modeling Rongjun Qin F. Chen Tonghan Wang Lei Yuan Xiaoran Wu Zongzhang Zhang Chongjie Zhang Yang Yu 38 19 0 09 Mar 2022
User-Oriented Robust Reinforcement Learning Haoyi You Beichen Yu Haiming Jin Zhaoxing Yang Jiahui Sun OffRL 32 0 0 15 Feb 2022
Hierarchical Representation Learning for Markov Decision Processes Lorenzo Steccanella Simone Totaro Anders Jonsson 28 4 0 03 Jun 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale Dmitry Kalashnikov Jacob Varley Yevgen Chebotar Benjamin Swanson Rico Jonschkowski Chelsea Finn Sergey Levine Karol Hausman OffRL 47 271 0 16 Apr 2021
Single Episode Policy Transfer in Reinforcement Learning Jiachen Yang Brenden K. Petersen H. Zha Daniel Faissol OOD OffRL 33 33 0 17 Oct 2019
Curiosity-Driven Experience Prioritization via Density Estimation Rui Zhao Volker Tresp 27 54 0 20 Feb 2019
Policy Transfer with Strategy Optimization Wenhao Yu Chenxi Liu Greg Turk 38 80 0 12 Oct 2018
Energy-Based Hindsight Experience Prioritization Rui Zhao Volker Tresp 19 74 0 02 Oct 2018
A survey on policy search algorithms for learning robot controllers in a handful of trials Konstantinos Chatzilygeroudis Vassilis Vassiliades F. Stulp Sylvain Calinon Jean-Baptiste Mouret 17 155 0 06 Jul 2018
Socially Guided Intrinsic Motivation for Robot Learning of Motor Skills S. Nguyen Pierre-Yves Oudeyer 11 59 0 19 Apr 2018
Active choice of teachers, learning strategies and goals for a socially guided intrinsic motivation learner S. Nguyen Pierre-Yves Oudeyer 14 52 0 18 Apr 2018
Temporal Difference Models: Model-Free Deep RL for Model-Based Control Vitchyr H. Pong S. Gu Murtaza Dalal Sergey Levine OffRL 66 238 0 25 Feb 2018
End-to-end Driving via Conditional Imitation Learning Felipe Codevilla Matthias Muller Antonio M. López V. Koltun Alexey Dosovitskiy 22 1,060 0 06 Oct 2017
One-Shot Visual Imitation Learning via Meta-Learning Chelsea Finn Tianhe Yu Tianhao Zhang Pieter Abbeel Sergey Levine SSL 30 554 0 14 Sep 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 87 2,296 0 05 Jul 2017
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning Junhyuk Oh Satinder Singh Honglak Lee Pushmeet Kohli OffRL 31 269 0 15 Jun 2017
Learning to Act by Predicting the Future Alexey Dosovitskiy V. Koltun 29 280 0 06 Nov 2016
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics J. M. Wong 27 11 0 01 Nov 2016
Situational Awareness by Risk-Conscious Skills D. Mankowitz Aviv Tamar Shie Mannor 14 7 0 10 Oct 2016
A Deep Hierarchical Approach to Lifelong Learning in Minecraft Chen Tessler Shahar Givony Tom Zahavy D. Mankowitz Shie Mannor CLL 19 377 0 25 Apr 2016
Reinforcement Learning with Parameterized Actions W. Masson Pravesh Ranchod George Konidaris 15 208 0 05 Sep 2015
Bayesian Policy Reuse Benjamin Rosman Majd Hawasly S. Ramamoorthy OffRL 18 81 0 01 May 2015
Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations Finale Doshi-Velez George Konidaris 43 128 0 15 Aug 2013