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1807.10299
Cited By
Variational Option Discovery Algorithms
26 July 2018
Joshua Achiam
Harrison Edwards
Dario Amodei
Pieter Abbeel
DRL
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Papers citing
"Variational Option Discovery Algorithms"
40 / 40 papers shown
Title
D3HRL: A Distributed Hierarchical Reinforcement Learning Approach Based on Causal Discovery and Spurious Correlation Detection
Chenran Zhao
Dianxi Shi
Mengzhu Wang
Jianqiang Xia
Huanhuan Yang
Songchang Jin
Shaowu Yang
Chunping Qiu
27
0
0
04 May 2025
Behaviour Discovery and Attribution for Explainable Reinforcement Learning
Rishav Rishav
Somjit Nath
Vincent Michalski
Samira Ebrahimi Kahou
FAtt
OffRL
70
0
0
19 Mar 2025
NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations
Myunsoo Kim
Hayeong Lee
Seong-Woong Shim
JunHo Seo
Byung-Jun Lee
LLMAG
37
0
0
22 Jan 2025
Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints
Pavel Kolev
Marin Vlastelica
Georg Martius
OffRL
35
0
0
08 Jan 2025
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
Max Wilcoxson
Qiyang Li
Kevin Frans
Sergey Levine
SSL
OffRL
OnRL
57
0
0
23 Oct 2024
Do's and Don'ts: Learning Desirable Skills with Instruction Videos
Hyunseung Kim
ByungKun Lee
Hojoon Lee
Dongyoon Hwang
Donghu Kim
Jaegul Choo
39
1
0
01 Jun 2024
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills
Seongun Kim
Kyowoon Lee
Jaesik Choi
SSL
DRL
41
7
0
30 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
Seohong Park
Oleh Rybkin
Sergey Levine
OffRL
33
34
0
13 Oct 2023
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling
Jesse Zhang
Karl Pertsch
Jiahui Zhang
Joseph J. Lim
LM&Ro
36
17
0
20 Jun 2023
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning
T. Kanazawa
Chetan Gupta
29
0
0
15 Mar 2023
Intrinsic Motivation in Dynamical Control Systems
Stas Tiomkin
I. Nemenman
Daniel Polani
Naftali Tishby
18
4
0
29 Dec 2022
Assistive Teaching of Motor Control Tasks to Humans
Megha Srivastava
Erdem Biyik
Suvir Mirchandani
Noah D. Goodman
Dorsa Sadigh
20
6
0
25 Nov 2022
Choreographer: Learning and Adapting Skills in Imagination
Pietro Mazzaglia
Tim Verbelen
Bart Dhoedt
Alexandre Lacoste
Sai Rajeswar
29
21
0
23 Nov 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Daniel Jarrett
Corentin Tallec
Florent Altché
Thomas Mesnard
Rémi Munos
Michal Valko
48
5
0
18 Nov 2022
Learning General World Models in a Handful of Reward-Free Deployments
Yingchen Xu
Jack Parker-Holder
Aldo Pacchiano
Philip J. Ball
Oleh Rybkin
Stephen J. Roberts
Tim Rocktaschel
Edward Grefenstette
OffRL
55
9
0
23 Oct 2022
A Mixture of Surprises for Unsupervised Reinforcement Learning
Andrew Zhao
Matthieu Lin
Yangguang Li
Yong-Jin Liu
Gao Huang
28
13
0
13 Oct 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey
A. Aubret
L. Matignon
S. Hassas
34
35
0
19 Sep 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Benjamin Eysenbach
Tianjun Zhang
Ruslan Salakhutdinov
Sergey Levine
SSL
OffRL
28
139
0
15 Jun 2022
Open-Ended Reinforcement Learning with Neural Reward Functions
Robert Meier
Asier Mujika
37
7
0
16 Feb 2022
Bayesian Nonparametrics for Offline Skill Discovery
Valentin Villecroze
H. Braviner
Panteha Naderian
Chris J. Maddison
G. Loaiza-Ganem
BDL
OffRL
20
8
0
09 Feb 2022
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
Michael Laskin
Hao Liu
Xue Bin Peng
Denis Yarats
Aravind Rajeswaran
Pieter Abbeel
SSL
78
65
0
01 Feb 2022
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives
Murtaza Dalal
Deepak Pathak
Ruslan Salakhutdinov
40
90
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
40
18
0
27 Oct 2021
Hierarchical Skills for Efficient Exploration
Jonas Gehring
Gabriel Synnaeve
Andreas Krause
Nicolas Usunier
28
40
0
20 Oct 2021
The Information Geometry of Unsupervised Reinforcement Learning
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
SSL
OffRL
61
31
0
06 Oct 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
Jianye Hao
Tianpei Yang
Hongyao Tang
Chenjia Bai
Jinyi Liu
Zhaopeng Meng
Peng Liu
Zhen Wang
OffRL
36
92
0
14 Sep 2021
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration
Chen Wang
Claudia Pérez-DÁrpino
Danfei Xu
Li Fei-Fei
Chenxi Liu
Silvio Savarese
42
33
0
13 Aug 2021
Unsupervised Skill Discovery with Bottleneck Option Learning
Jaekyeom Kim
Seohong Park
Gunhee Kim
32
32
0
27 Jun 2021
Discovering Diverse Athletic Jumping Strategies
Zhiqi Yin
Zeshi Yang
M. van de Panne
KangKang Yin
40
46
0
02 May 2021
Learning Task Decomposition with Ordered Memory Policy Network
Yucheng Lu
Songlin Yang
Siyuan Zhou
Aaron Courville
J. Tenenbaum
Chuang Gan
19
15
0
19 Mar 2021
Hierarchical Reinforcement Learning By Discovering Intrinsic Options
Jesse Zhang
Haonan Yu
Wenyuan Xu
BDL
132
82
0
16 Jan 2021
Policy Manifold Search for Improving Diversity-based Neuroevolution
Nemanja Rakićević
Antoine Cully
Petar Kormushev
27
0
0
15 Dec 2020
Relative Variational Intrinsic Control
Kate Baumli
David Warde-Farley
Steven Hansen
Volodymyr Mnih
23
42
0
14 Dec 2020
Affordance as general value function: A computational model
D. Graves
Johannes Günther
Jun Luo
AI4CE
21
6
0
27 Oct 2020
Efficient Empowerment Estimation for Unsupervised Stabilization
Ruihan Zhao
Kevin Lu
Pieter Abbeel
Stas Tiomkin
21
8
0
14 Jul 2020
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate
Mirco Mutti
Lorenzo Pratissoli
Marcello Restelli
11
19
0
09 Jul 2020
Skill Discovery of Coordination in Multi-agent Reinforcement Learning
Shuncheng He
Jianzhun Shao
Xiangyang Ji
26
7
0
07 Jun 2020
Agent57: Outperforming the Atari Human Benchmark
Adria Puigdomenech Badia
Bilal Piot
Steven Kapturowski
Pablo Sprechmann
Alex Vitvitskyi
Daniel Guo
Charles Blundell
OffRL
18
509
0
30 Mar 2020
Towards Governing Agent's Efficacy: Action-Conditional
β
β
β
-VAE for Deep Transparent Reinforcement Learning
John Yang
Gyujeong Lee
Minsung Hyun
Simyung Chang
Nojun Kwak
13
3
0
11 Nov 2018
Unsupervised Meta-Learning for Reinforcement Learning
Abhishek Gupta
Benjamin Eysenbach
Chelsea Finn
Sergey Levine
SSL
OffRL
51
106
0
12 Jun 2018
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