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2012.07827
Cited By
Relative Variational Intrinsic Control
AAAI Conference on Artificial Intelligence (AAAI), 2020
14 December 2020
Kate Baumli
David Warde-Farley
Steven Hansen
Volodymyr Mnih
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Papers citing
"Relative Variational Intrinsic Control"
32 / 32 papers shown
VendiRL: A Framework for Self-Supervised Reinforcement Learning of Diversely Diverse Skills
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AMPED: Adaptive Multi-objective Projection for balancing Exploration and skill Diversification
Geonwoo Cho
Jaemoon Lee
Jaegyun Im
Subi Lee
Jihwan Lee
Sundong Kim
398
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06 Jun 2025
Plasticity as the Mirror of Empowerment
David Abel
Michael Bowling
André Barreto
Will Dabney
Shi Dong
...
Doina Precup
Jonathan Richens
Mark Rowland
Tom Schaul
Satinder Singh
AI4CE
501
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0
15 May 2025
Diversity Progress for Goal Selection in Discriminability-Motivated RL
Erik M. Lintunen
Nadia M. Ady
Christian Guckelsberger
313
3
0
03 Nov 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
341
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0
15 Oct 2024
Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment
Annie S. Chen
Govind Chada
Laura M. Smith
Archit Sharma
Zipeng Fu
Sergey Levine
Chelsea Finn
580
10
0
02 Nov 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
International Conference on Learning Representations (ICLR), 2023
Seohong Park
Oleh Rybkin
Sergey Levine
OffRL
493
82
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
192
0
0
24 Aug 2023
Diversifying AI: Towards Creative Chess with AlphaZero
Tom Zahavy
Vivek Veeriah
Shaobo Hou
Kevin Waugh
Matthew Lai
Edouard Leurent
Nenad Tomašev
Lisa Schut
Demis Hassabis
Satinder Singh
329
23
0
17 Aug 2023
Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill Learning
Andrew Levy
Sreehari Rammohan
A. Allievi
S. Niekum
George Konidaris
284
7
0
06 Jul 2023
Unsupervised Discovery of Continuous Skills on a Sphere
Takahisa Imagawa
Takuya Hiraoka
Yoshimasa Tsuruoka
401
1
0
21 May 2023
Behavior Contrastive Learning for Unsupervised Skill Discovery
International Conference on Machine Learning (ICML), 2023
Rushuai Yang
Chenjia Bai
Hongyi Guo
Siyuan Li
Bin Zhao
Zhen Wang
Peng Liu
Xuelong Li
SSL
340
34
0
08 May 2023
Intrinsic Motivation in Dynamical Control Systems
Stas Tiomkin
I. Nemenman
Daniel Polani
Naftali Tishby
251
11
0
29 Dec 2022
A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process
Neural Information Processing Systems (NeurIPS), 2022
Jiayu Chen
Vaneet Aggarwal
Tian-Shing Lan
597
8
0
01 Dec 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
International Conference on Machine Learning (ICML), 2022
Daniel Jarrett
Corentin Tallec
Florent Altché
Thomas Mesnard
Rémi Munos
Michal Valko
300
6
0
18 Nov 2022
Pretraining in Deep Reinforcement Learning: A Survey
Zhihui Xie
Zichuan Lin
Junyou Li
Shuai Li
Deheng Ye
OffRL
OnRL
AI4CE
286
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0
08 Nov 2022
Skill-Based Reinforcement Learning with Intrinsic Reward Matching
Ademi Adeniji
Amber Xie
Pieter Abbeel
OffRL
376
5
0
14 Oct 2022
A Mixture of Surprises for Unsupervised Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Andrew Zhao
Matthieu Lin
Yangguang Li
Wenshu Fan
Gao Huang
262
14
0
13 Oct 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey
A. Aubret
L. Matignon
S. Hassas
311
56
0
19 Sep 2022
Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions
IEEE International Conference on Robotics and Automation (ICRA), 2022
Chenhao Li
Sebastian Blaes
Pavel Kolev
Marin Vlastelica
Jonas Frey
Georg Martius
SSL
308
40
0
16 Sep 2022
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning
Conference on Robot Learning (CoRL), 2022
Jan Achterhold
Markus Krimmel
Joerg Stueckler
393
11
0
11 Jul 2022
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis
Neural Information Processing Systems (NeurIPS), 2022
Shayegan Omidshafiei
A. Kapishnikov
Yannick Assogba
Lucas Dixon
Been Kim
OffRL
459
5
0
17 Jun 2022
POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning
Frederik Schubert
C. Benjamins
Sebastian Dohler
Bodo Rosenhahn
Marius Lindauer
SSL
OffRL
395
5
0
23 May 2022
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters
ACM Transactions on Graphics (TOG), 2022
Xue Bin Peng
Yunrong Guo
L. Halper
Sergey Levine
Sanja Fidler
288
14
0
04 May 2022
Wasserstein Distance Maximizing Intrinsic Control
Ishan Durugkar
Steven Hansen
Stephen Spencer
Volodymyr Mnih
176
6
0
28 Oct 2021
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching
Pierre-Alexandre Kamienny
Jean Tarbouriech
Sylvain Lamprier
A. Lazaric
Ludovic Denoyer
SSL
464
23
0
27 Oct 2021
Wasserstein Unsupervised Reinforcement Learning
Shuncheng He
Yuhang Jiang
Hongchang Zhang
Jianzhun Shao
Xiangyang Ji
OffRL
262
30
0
15 Oct 2021
Learning more skills through optimistic exploration
International Conference on Learning Representations (ICLR), 2021
D. Strouse
Kate Baumli
David Warde-Farley
Vlad Mnih
Steven Hansen
SSL
365
53
0
29 Jul 2021
Discovering Diverse Nearly Optimal Policies with Successor Features
Tom Zahavy
Brendan O'Donoghue
André Barreto
Volodymyr Mnih
Sebastian Flennerhag
Satinder Singh
218
25
0
01 Jun 2021
Understanding the Origin of Information-Seeking Exploration in Probabilistic Objectives for Control
Beren Millidge
A. Seth
Christopher L. Buckley
774
13
0
11 Mar 2021
Discovery of Options via Meta-Learned Subgoals
Neural Information Processing Systems (NeurIPS), 2021
Vivek Veeriah
Tom Zahavy
Matteo Hessel
Zhongwen Xu
Junhyuk Oh
Iurii Kemaev
H. V. Hasselt
David Silver
Satinder Singh
250
36
0
12 Feb 2021
Learning Diverse Options via InfoMax Termination Critic
Yuji Kanagawa
Tomoyuki Kaneko
283
1
0
06 Oct 2020
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