Direct then Diffuse: Incremental Unsupervised Skill Discovery for State
Covering and Goal Reaching

Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching

27 October 2021

Pierre-Alexandre Kamienny

Jean Tarbouriech

Sylvain Lamprier

Ludovic Denoyer

Papers citing "Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching"

16 / 16 papers shown

Title
Exploration by Learning Diverse Skills through Successor State Measures Paul-Antoine Le Tolguenec Yann Besse Florent Teichteil-Königsbuch Dennis G. Wilson Emmanuel Rachelson 38 0 0 14 Jun 2024
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient Zechu Li Rickmer Krohn Tao Chen Anurag Ajay Pulkit Agrawal Georgia Chalvatzaki DiffM 42 8 0 02 Jun 2024
Do's and Don'ts: Learning Desirable Skills with Instruction Videos Hyunseung Kim ByungKun Lee Hojoon Lee Dongyoon Hwang Donghu Kim Jaegul Choo 37 1 0 01 Jun 2024
Learning to Discover Skills through Guidance Hyunseung Kim ByungKun Lee Hojoon Lee Dongyoon Hwang Sejik Park Kyushik Min Jaegul Choo 37 6 0 31 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction Seohong Park Oleh Rybkin Sergey Levine OffRL 28 34 0 13 Oct 2023
APART: Diverse Skill Discovery using All Pairs with Ascending Reward and DropouT Hadar Schreiber Galler Tom Zahavy Guillaume Desjardins Alon Cohen 20 0 0 24 Aug 2023
Planning Goals for Exploration E. Hu Richard Chang Oleh Rybkin Dinesh Jayaraman 35 24 0 23 Mar 2023
Controllability-Aware Unsupervised Skill Discovery Seohong Park Kimin Lee Youngwoon Lee Pieter Abbeel 19 43 0 10 Feb 2023
Layered State Discovery for Incremental Autonomous Exploration Liyu Chen Andrea Tirinzoni A. Lazaric Matteo Pirotta 13 0 0 07 Feb 2023
A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process Jiayu Chen Vaneet Aggarwal Tian-Shing Lan 8 1 0 01 Dec 2022
Pretraining in Deep Reinforcement Learning: A Survey Zhihui Xie Zichuan Lin Junyou Li Shuai Li Deheng Ye OffRL OnRL AI4CE 21 22 0 08 Nov 2022
On the importance of data collection for training general goal-reaching policies Alexis Jacq Manu Orsini Gabriel Dulac-Arnold Olivier Pietquin M. Geist Olivier Bachem OffRL 25 1 0 07 Nov 2022
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery Félix Chalumeau Raphael Boige Bryan Lim Valentin Macé Maxime Allard Arthur Flajolet Antoine Cully Thomas Pierrot 16 21 0 06 Oct 2022
Temporal Abstractions-Augmented Temporally Contrastive Learning: An Alternative to the Laplacian in RL Akram Erraqabi Marlos C. Machado Mingde Zhao Sainbayar Sukhbaatar A. Lazaric Ludovic Denoyer Yoshua Bengio OffRL 15 9 0 21 Mar 2022
SaLinA: Sequential Learning of Agents Ludovic Denoyer Alfredo De la Fuente S. Duong Jean-Baptiste Gaya Pierre-Alexandre Kamienny Daniel H. Thompson 31 11 0 15 Oct 2021
Hierarchical Reinforcement Learning By Discovering Intrinsic Options Jesse Zhang Haonan Yu W. Xu BDL 120 82 0 16 Jan 2021