Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2302.05103
Cited By
v1
v2
v3 (latest)
Controllability-Aware Unsupervised Skill Discovery
International Conference on Machine Learning (ICML), 2023
10 February 2023
Seohong Park
Kimin Lee
Youngwoon Lee
Pieter Abbeel
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Controllability-Aware Unsupervised Skill Discovery"
39 / 39 papers shown
Title
Periodic Skill Discovery
Jonghae Park
Daesol Cho
Jusuk Lee
D. Shim
Inkyu Jang
H. J. Kim
180
0
0
05 Nov 2025
Reference Grounded Skill Discovery
Seungeun Rho
Aaron Trinh
Danfei Xu
Sehoon Ha
129
0
0
07 Oct 2025
Focused Skill Discovery: Learning to Control Specific State Variables while Minimizing Side Effects
Jonathan Colaço Carr
Qinyi Sun
Cameron Allen
92
0
0
06 Oct 2025
Policy Compatible Skill Incremental Learning via Lazy Learning Interface
Daehee Lee
Dongsu Lee
TaeYoon Kwack
Wonje Choi
Honguk Woo
CLL
234
0
0
24 Sep 2025
Divide, Discover, Deploy: Factorized Skill Learning with Symmetry and Style Priors
Rafael Cathomen
Mayank Mittal
Marin Vlastelica
Marco Hutter
109
2
0
27 Aug 2025
From Tabula Rasa to Emergent Abilities: Discovering Robot Skills via Real-World Unsupervised Quality-Diversity
Luca Grillotti
Lisa Coiffard
Oscar Pang
Maxence Faldor
Antoine Cully
144
0
0
26 Aug 2025
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning
International Conference on Learning Representations (ICLR), 2025
Yucheng Yang
Tianyi Zhou
Qiang He
Lei Han
Mykola Pechenizkiy
Meng Fang
SSL
222
11
0
12 Jun 2025
AMPED: Adaptive Multi-objective Projection for balancing Exploration and skill Diversification
Geonwoo Cho
Jaemoon Lee
Jaegyun Im
Subi Lee
Jihwan Lee
Sundong Kim
273
0
0
06 Jun 2025
Average-Reward Soft Actor-Critic
Jacob Adamczyk
Volodymyr Makarenko
Stas Tiomkin
R. Kulkarni
OOD
229
3
0
15 Jan 2025
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
Neural Information Processing Systems (NeurIPS), 2024
Daehee Lee
Minjong Yoo
Woo Kyung Kim
Wonje Choi
Honguk Woo
CLL
432
15
0
30 Oct 2024
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions
Neural Information Processing Systems (NeurIPS), 2024
Zizhao Wang
Jiaheng Hu
Caleb Chuck
Stephen Chen
Roberto Martín-Martín
Amy Zhang
S. Niekum
Peter Stone
OffRL
221
9
0
24 Oct 2024
Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2024
Jiaheng Hu
Zizhao Wang
Peter Stone
Roberto Martín-Martín
240
13
0
15 Oct 2024
Latent-Predictive Empowerment: Measuring Empowerment without a Simulator
Andrew Levy
A. Allievi
George Konidaris
215
1
0
15 Oct 2024
Unsupervised Skill Discovery for Robotic Manipulation through Automatic Task Generation
IEEE-RAS International Conference on Humanoid Robots (Humanoids), 2024
Paul Jansonnie
Bingbing Wu
Julien Perez
Jan Peters
SSL
205
3
0
07 Oct 2024
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
International Conference on Learning Representations (ICLR), 2024
Haozhe Ma
Zhengding Luo
Thanh Vinh Vo
Kuankuan Sima
Tze-Yun Leong
585
17
0
06 Aug 2024
Constrained Intrinsic Motivation for Reinforcement Learning
Xiang Zheng
Jie Zhang
Chao Shen
Cong Wang
210
4
0
12 Jul 2024
TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations
Junik Bae
Kwanyoung Park
Youngwoon Lee
215
9
0
11 Jul 2024
Exploration by Learning Diverse Skills through Successor State Measures
Paul-Antoine Le Tolguenec
Yann Besse
Florent Teichteil-Königsbuch
Dennis G. Wilson
Emmanuel Rachelson
199
1
0
14 Jun 2024
Language Guided Skill Discovery
International Conference on Learning Representations (ICLR), 2024
Seungeun Rho
Laura Smith
Tianyu Li
Sergey Levine
Xue Bin Peng
Sehoon Ha
LM&Ro
172
13
0
07 Jun 2024
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient
Zechu Li
Rickmer Krohn
Tao Chen
Anurag Ajay
Pulkit Agrawal
Georgia Chalvatzaki
DiffM
201
34
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
454
4
0
01 Jun 2024
Constrained Ensemble Exploration for Unsupervised Skill Discovery
Chenjia Bai
Rushuai Yang
Qiaosheng Zhang
Kang Xu
Yi Chen
Ting Xiao
Xuelong Li
OffRL
379
7
0
25 May 2024
Agentic Skill Discovery
Xufeng Zhao
C. Weber
Stefan Wermter
LM&Ro
LLMAG
LRM
220
3
0
23 May 2024
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2024
Chengyang Ying
Zhongkai Hao
Xinning Zhou
Xuezhou Xu
Hang Su
Xingxing Zhang
Jun Zhu
308
11
0
23 May 2024
DexSkills: Skill Segmentation Using Haptic Data for Learning Autonomous Long-Horizon Robotic Manipulation Tasks
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Xiaofeng Mao
G. Giudici
Claudio Coppola
K. Althoefer
I. Farkhatdinov
Zhibin Li
Lorenzo Jamone
209
10
0
06 May 2024
Rethinking Mutual Information for Language Conditioned Skill Discovery on Imitation Learning
Zhaoxun Ju
Chao Yang
Hongbo Wang
Yu Qiao
Gang Hua
LM&Ro
273
6
0
27 Feb 2024
MENTOR: Guiding Hierarchical Reinforcement Learning with Human Feedback and Dynamic Distance Constraint
Xinglin Zhou
Yifu Yuan
Shaofu Yang
Jianye Hao
160
6
0
22 Feb 2024
SLIM: Skill Learning with Multiple Critics
David Emukpere
Bingbing Wu
Julien Perez
J. Renders
197
2
0
01 Feb 2024
Learning to Discover Skills through Guidance
Neural Information Processing Systems (NeurIPS), 2023
Hyunseung Kim
ByungKun Lee
Hojoon Lee
Dongyoon Hwang
Sejik Park
Kyushik Min
Jaegul Choo
300
11
0
31 Oct 2023
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance
Jesse Zhang
Jiahui Zhang
Karl Pertsch
Ziyi Liu
Xiang Ren
Minsuk Chang
Shao-Hua Sun
Joseph J Lim
LLMAG
LM&Ro
410
83
0
16 Oct 2023
Exploration with Principles for Diverse AI Supervision
Hao Liu
Matei A. Zaharia
Pieter Abbeel
242
2
0
13 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
International Conference on Learning Representations (ICLR), 2023
Seohong Park
Oleh Rybkin
Sergey Levine
OffRL
340
64
0
13 Oct 2023
Learning Diverse Skills for Local Navigation under Multi-constraint Optimality
IEEE International Conference on Robotics and Automation (ICRA), 2023
Jin Cheng
Marin Vlastelica
Pavel Kolev
Chenhao Li
Georg Martius
174
11
0
03 Oct 2023
ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery
Xin Liu
Yaran Chen
Dong Zhao
216
0
0
29 Sep 2023
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2023
David Yunis
Justin Jung
Falcon Z. Dai
Matthew R. Walter
OffRL
198
0
0
08 Sep 2023
Language Reward Modulation for Pretraining Reinforcement Learning
Ademi Adeniji
Amber Xie
Carmelo Sferrazza
Younggyo Seo
Stephen James
Pieter Abbeel
169
39
0
23 Aug 2023
Offline Diversity Maximization Under Imitation Constraints
Marin Vlastelica
Jin Cheng
Georg Martius
Pavel Kolev
OffRL
463
2
0
21 Jul 2023
Leveraging Prior Knowledge in Reinforcement Learning via Double-Sided Bounds on the Value Function
Jacob Adamczyk
Stas Tiomkin
R. Kulkarni
OffRL
89
0
0
19 Feb 2023
Complex behavior from intrinsic motivation to occupy action-state path space
Nature Communications (Nat Commun), 2022
Jorge Ramírez-Ruiz
D. Grytskyy
Chiara Mastrogiuseppe
Yamen Habib
R. Moreno-Bote
228
14
0
20 May 2022
1