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Variational Option Discovery Algorithms

Variational Option Discovery Algorithms

26 July 2018
Joshua Achiam
Harrison Edwards
Dario Amodei
Pieter Abbeel
    DRL
ArXivPDFHTML

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Open-Ended Reinforcement Learning with Neural Reward Functions
Robert Meier
Asier Mujika
37
7
0
16 Feb 2022
Bayesian Nonparametrics for Offline Skill Discovery
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
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
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
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
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
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
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
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
Unsupervised Skill Discovery with Bottleneck Option Learning
Jaekyeom Kim
Seohong Park
Gunhee Kim
32
32
0
27 Jun 2021
Discovering Diverse Athletic Jumping Strategies
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
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
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
Policy Manifold Search for Improving Diversity-based Neuroevolution
Nemanja Rakićević
Antoine Cully
Petar Kormushev
27
0
0
15 Dec 2020
Relative Variational Intrinsic Control
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
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
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
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
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
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 $β$-VAE for
  Deep Transparent Reinforcement Learning
Towards Governing Agent's Efficacy: Action-Conditional βββ-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
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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