Disentangled Unsupervised Skill Discovery for Efficient Hierarchical
Reinforcement Learning

Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning

15 October 2024

Roberto Martín-Martín

Papers citing "Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning"

14 / 14 papers shown

Title
Causal Policy Gradient for Whole-Body Mobile Manipulation Jiaheng Hu Peter Stone Roberto Martín-Martín 55 21 0 04 May 2023
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning Shaohui Peng Xin Hu Rui Zhang Ke Tang Jiaming Guo ... Xishan Zhang Zidong Du Ling Li Qi Guo Yunji Chen 30 23 0 13 Oct 2022
Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation Yifeng Zhu Peter Stone Yuke Zhu 69 62 0 28 Sep 2021
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks Chengshu Li Fei Xia Roberto Martín-Martín Michael Lingelbach S. Srivastava ... Karen Liu H. Gweon Jiajun Wu Li Fei-Fei Silvio Savarese LM&Ro 180 227 0 06 Aug 2021
Unsupervised Skill Discovery with Bottleneck Option Learning Jaekyeom Kim Seohong Park Gunhee Kim 42 32 0 27 Jun 2021
The Option Keyboard: Combining Skills in Reinforcement Learning André Barreto Diana Borsa Shaobo Hou Gheorghe Comanici Eser Aygun ... Daniel Toyama Jonathan J. Hunt Shibl Mourad David Silver Doina Precup 42 99 0 24 Jun 2021
Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs Thomas Spooner N. Vadori Sumitra Ganesh 44 7 0 20 Feb 2021
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey Cédric Colas Tristan Karch Olivier Sigaud Pierre-Yves Oudeyer 81 87 0 17 Dec 2020
Relative Variational Intrinsic Control Kate Baumli David Warde-Farley Steven Hansen Volodymyr Mnih 38 42 0 14 Dec 2020
Object-Centric Learning with Slot Attention Francesco Locatello Dirk Weissenborn Thomas Unterthiner Aravindh Mahendran G. Heigold Jakob Uszkoreit Alexey Dosovitskiy Thomas Kipf OCL 158 832 0 26 Jun 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 201 315 0 07 Feb 2020
Unsupervised Control Through Non-Parametric Discriminative Rewards David Warde-Farley T. Wiele Tejas D. Kulkarni Catalin Ionescu Steven Hansen Volodymyr Mnih DRL OffRL SSL 63 176 0 28 Nov 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 203 18,685 0 20 Jul 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 93 2,416 0 15 May 2017