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  4. Cited By
Variational Intrinsic Control

Variational Intrinsic Control

22 November 2016
Karol Gregor
Danilo Jimenez Rezende
Daan Wierstra
    DRLOffRL
ArXiv (abs)PDFHTML

Papers citing "Variational Intrinsic Control"

50 / 311 papers shown
Deep Laplacian-based Options for Temporally-Extended Exploration
Deep Laplacian-based Options for Temporally-Extended ExplorationInternational Conference on Machine Learning (ICML), 2023
Martin Klissarov
Marlos C. Machado
OffRL
260
27
0
26 Jan 2023
Centralized Cooperative Exploration Policy for Continuous Control Tasks
Centralized Cooperative Exploration Policy for Continuous Control TasksAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Chong Li
Chen Gong
Qiang He
Xinwen Hou
Yu Liu
237
1
0
06 Jan 2023
Intrinsic Motivation in Dynamical Control Systems
Intrinsic Motivation in Dynamical Control Systems
Stas Tiomkin
I. Nemenman
Daniel Polani
Naftali Tishby
219
9
0
29 Dec 2022
Automated Gadget Discovery in Science
Automated Gadget Discovery in Science
Lea M. Trenkwalder
Andrea López-Incera
Hendrik Poulsen Nautrup
Fulvio Flamini
Hans J. Briegel
169
3
0
24 Dec 2022
Learning Options via Compression
Learning Options via CompressionNeural Information Processing Systems (NeurIPS), 2022
Yiding Jiang
Emmy Liu
Benjamin Eysenbach
Zico Kolter
Chelsea Finn
OffRL
279
21
0
08 Dec 2022
Curiosity creates Diversity in Policy Search
Curiosity creates Diversity in Policy SearchACM Transactions on Evolutionary Learning and Optimization (TELO), 2022
Paul-Antoine Le Tolguenec
Emmanuel Rachelson
Yann Besse
Dennis G. Wilson
275
2
0
07 Dec 2022
A Unified Algorithm Framework for Unsupervised Discovery of Skills based
  on Determinantal Point Process
A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point ProcessNeural Information Processing Systems (NeurIPS), 2022
Jiayu Chen
Vaneet Aggarwal
Tian-Shing Lan
408
6
0
01 Dec 2022
Assistive Teaching of Motor Control Tasks to Humans
Assistive Teaching of Motor Control Tasks to HumansNeural Information Processing Systems (NeurIPS), 2022
Megha Srivastava
Erdem Biyik
Suvir Mirchandani
Noah D. Goodman
Dorsa Sadigh
207
7
0
25 Nov 2022
Choreographer: Learning and Adapting Skills in Imagination
Choreographer: Learning and Adapting Skills in ImaginationInternational Conference on Learning Representations (ICLR), 2022
Pietro Mazzaglia
Tim Verbelen
Bart Dhoedt
Alexandre Lacoste
Sai Rajeswar
371
32
0
23 Nov 2022
Discovering Unsupervised Behaviours from Full-State Trajectories
Discovering Unsupervised Behaviours from Full-State Trajectories
Luca Grillotti
Antoine Cully
247
2
0
22 Nov 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Curiosity in Hindsight: Intrinsic Exploration in Stochastic EnvironmentsInternational Conference on Machine Learning (ICML), 2022
Daniel Jarrett
Corentin Tallec
Florent Altché
Thomas Mesnard
Rémi Munos
Michal Valko
248
6
0
18 Nov 2022
Build generally reusable agent-environment interaction models
Build generally reusable agent-environment interaction models
Jun Jin
Hongming Zhang
Jun Luo
136
0
0
13 Nov 2022
Control Transformer: Robot Navigation in Unknown Environments through
  PRM-Guided Return-Conditioned Sequence Modeling
Control Transformer: Robot Navigation in Unknown Environments through PRM-Guided Return-Conditioned Sequence ModelingIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Daniel Lawson
A. H. Qureshi
266
13
0
11 Nov 2022
Pretraining in Deep Reinforcement Learning: A Survey
Pretraining in Deep Reinforcement Learning: A Survey
Zhihui Xie
Zichuan Lin
Junyou Li
Shuai Li
Deheng Ye
OffRLOnRLAI4CE
226
30
0
08 Nov 2022
Diversity-based Deep Reinforcement Learning Towards Multidimensional
  Difficulty for Fighting Game AI
Diversity-based Deep Reinforcement Learning Towards Multidimensional Difficulty for Fighting Game AI
Emily Halina
Matthew J. Guzdial
177
4
0
04 Nov 2022
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for
  Industrial Insertion of Novel Connectors from Vision
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from VisionIEEE International Conference on Robotics and Automation (ICRA), 2022
Ashvin Nair
Brian Zhu
Gokul Narayanan
Eugen Solowjow
Sergey Levine
OffRLOnRL
365
20
0
27 Oct 2022
Learning General World Models in a Handful of Reward-Free Deployments
Learning General World Models in a Handful of Reward-Free DeploymentsNeural Information Processing Systems (NeurIPS), 2022
Yingchen Xu
Jack Parker-Holder
Aldo Pacchiano
Philip J. Ball
Oleh Rybkin
Stephen J. Roberts
Tim Rocktaschel
Edward Grefenstette
OffRL
258
11
0
23 Oct 2022
Skill-Based Reinforcement Learning with Intrinsic Reward Matching
Skill-Based Reinforcement Learning with Intrinsic Reward Matching
Ademi Adeniji
Amber Xie
Pieter Abbeel
OffRL
295
5
0
14 Oct 2022
A Mixture of Surprises for Unsupervised Reinforcement Learning
A Mixture of Surprises for Unsupervised Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Andrew Zhao
Matthieu Lin
Yangguang Li
Wenshu Fan
Gao Huang
210
14
0
13 Oct 2022
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward
LECO: Learnable Episodic Count for Task-Specific Intrinsic RewardNeural Information Processing Systems (NeurIPS), 2022
DaeJin Jo
Sungwoong Kim
D. W. Nam
Taehwan Kwon
Seungeun Rho
Jongmin Kim
Donghoon Lee
OffRL
146
12
0
11 Oct 2022
Neuroevolution is a Competitive Alternative to Reinforcement Learning
  for Skill Discovery
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill DiscoveryInternational Conference on Learning Representations (ICLR), 2022
Félix Chalumeau
Raphael Boige
Bryan Lim
Valentin Macé
Maxime Allard
Arthur Flajolet
Antoine Cully
Thomas Pierrot
387
30
0
06 Oct 2022
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with
  Multi-choice Dynamics Model
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics ModelInternational Conference on Learning Representations (ICLR), 2022
Yifu Yuan
Jianye Hao
Fei Ni
Yao Mu
Yan Zheng
Yujing Hu
Jinyi Liu
Yingfeng Chen
Changjie Fan
223
16
0
02 Oct 2022
Does Zero-Shot Reinforcement Learning Exist?
Does Zero-Shot Reinforcement Learning Exist?International Conference on Learning Representations (ICLR), 2022
Ahmed Touati
Jérémy Rapin
Yann Ollivier
OffRL
316
58
0
29 Sep 2022
Delayed Geometric Discounts: An Alternative Criterion for Reinforcement
  Learning
Delayed Geometric Discounts: An Alternative Criterion for Reinforcement Learning
Firas Jarboui
Ahmed Akakzia
103
0
0
26 Sep 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
261
52
0
19 Sep 2022
Versatile Skill Control via Self-supervised Adversarial Imitation of
  Unlabeled Mixed Motions
Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed MotionsIEEE International Conference on Robotics and Automation (ICRA), 2022
Chenhao Li
Sebastian Blaes
Pavel Kolev
Marin Vlastelica
Jonas Frey
Georg Martius
SSL
248
38
0
16 Sep 2022
MO2: Model-Based Offline Options
MO2: Model-Based Offline Options
Sasha Salter
Markus Wulfmeier
Dhruva Tirumala
N. Heess
Martin Riedmiller
R. Hadsell
Dushyant Rao
OffRL
174
14
0
05 Sep 2022
Modelling non-reinforced preferences using selective attention
Modelling non-reinforced preferences using selective attention
Noor Sajid
P. Tigas
Zafeirios Fountas
Qinghai Guo
Alexey Zakharov
Lancelot Da Costa
147
1
0
25 Jul 2022
Learning Temporally Extended Skills in Continuous Domains as Symbolic
  Actions for Planning
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for PlanningConference on Robot Learning (CoRL), 2022
Jan Achterhold
Markus Krimmel
Joerg Stueckler
319
11
0
11 Jul 2022
Optimistic Linear Support and Successor Features as a Basis for Optimal
  Policy Transfer
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy TransferInternational Conference on Machine Learning (ICML), 2022
L. N. Alegre
A. Bazzan
Bruno C. da Silva
145
31
0
22 Jun 2022
Learning Neuro-Symbolic Skills for Bilevel Planning
Learning Neuro-Symbolic Skills for Bilevel PlanningConference on Robot Learning (CoRL), 2022
Tom Silver
Ashay Athalye
J. Tenenbaum
Tomas Lozano-Perez
L. Kaelbling
279
83
0
21 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Contrastive Learning as Goal-Conditioned Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Benjamin Eysenbach
Tianjun Zhang
Ruslan Salakhutdinov
Sergey Levine
SSLOffRL
368
211
0
15 Jun 2022
Intrinsically motivated option learning: a comparative study of recent
  methods
Intrinsically motivated option learning: a comparative study of recent methodsTelecommunications Forum (TELFOR), 2021
Đorđe Božić
Predrag Tadić
Mladen Nikolic
115
1
0
13 Jun 2022
Deep Hierarchical Planning from Pixels
Deep Hierarchical Planning from PixelsNeural Information Processing Systems (NeurIPS), 2022
Danijar Hafner
Kuang-Huei Lee
Ian S. Fischer
Pieter Abbeel
223
118
0
08 Jun 2022
Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks
Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks
Andrew C. Li
Pashootan Vaezipoor
Rodrigo Toro Icarte
Sheila A. McIlraith
OffRLLRM
140
5
0
03 Jun 2022
Uniqueness and Complexity of Inverse MDP Models
Uniqueness and Complexity of Inverse MDP Models
Marcus Hutter
Steven Hansen
154
5
0
02 Jun 2022
First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual
  Information Maximization
First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information MaximizationNeural Information Processing Systems (NeurIPS), 2022
S. Reddy
Sergey Levine
Anca Dragan
SSL
193
15
0
24 May 2022
POLTER: Policy Trajectory Ensemble Regularization for Unsupervised
  Reinforcement Learning
POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning
Frederik Schubert
C. Benjamins
Sebastian Dohler
Bodo Rosenhahn
Marius Lindauer
SSLOffRL
344
5
0
23 May 2022
Complex behavior from intrinsic motivation to occupy action-state path
  space
Complex behavior from intrinsic motivation to occupy action-state path spaceNature Communications (Nat Commun), 2022
Jorge Ramírez-Ruiz
D. Grytskyy
Chiara Mastrogiuseppe
Yamen Habib
R. Moreno-Bote
255
16
0
20 May 2022
A State-Distribution Matching Approach to Non-Episodic Reinforcement
  Learning
A State-Distribution Matching Approach to Non-Episodic Reinforcement LearningInternational Conference on Machine Learning (ICML), 2022
Archit Sharma
Rehaan Ahmad
Chelsea Finn
OODOffRL
178
22
0
11 May 2022
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically
  Simulated Characters
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated CharactersACM Transactions on Graphics (TOG), 2022
Xue Bin Peng
Yunrong Guo
L. Halper
Sergey Levine
Sanja Fidler
188
15
0
04 May 2022
INFOrmation Prioritization through EmPOWERment in Visual Model-Based RL
INFOrmation Prioritization through EmPOWERment in Visual Model-Based RLInternational Conference on Learning Representations (ICLR), 2022
Homanga Bharadhwaj
Mohammad Babaeizadeh
D. Erhan
Sergey Levine
233
33
0
18 Apr 2022
Unsupervised Learning of Temporal Abstractions with Slot-based
  Transformers
Unsupervised Learning of Temporal Abstractions with Slot-based TransformersNeural Computation (Neural Comput.), 2022
Anand Gopalakrishnan
Kazuki Irie
Jürgen Schmidhuber
Sjoerd van Steenkiste
OffRL
387
18
0
25 Mar 2022
One After Another: Learning Incremental Skills for a Changing World
One After Another: Learning Incremental Skills for a Changing WorldInternational Conference on Learning Representations (ICLR), 2022
Nur Muhammad (Mahi) Shafiullah
Lerrel Pinto
CLL
203
15
0
21 Mar 2022
Reliably Re-Acting to Partner's Actions with the Social Intrinsic
  Motivation of Transfer Empowerment
Reliably Re-Acting to Partner's Actions with the Social Intrinsic Motivation of Transfer Empowerment
T. V. D. Heiden
H. V. Hoof
E. Gavves
Christoph Salge
89
1
0
07 Mar 2022
Continual Auxiliary Task Learning
Continual Auxiliary Task LearningNeural Information Processing Systems (NeurIPS), 2022
Matt McLeod
Chun-Ping Lo
M. Schlegel
Andrew Jacobsen
Raksha Kumaraswamy
Martha White
Adam White
CLL
158
10
0
22 Feb 2022
Reward-Free Policy Space Compression for Reinforcement Learning
Reward-Free Policy Space Compression for Reinforcement LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Mirco Mutti
Stefano Del Col
Marcello Restelli
166
5
0
22 Feb 2022
Open-Ended Reinforcement Learning with Neural Reward Functions
Open-Ended Reinforcement Learning with Neural Reward FunctionsNeural Information Processing Systems (NeurIPS), 2022
Robert Meier
Asier Mujika
290
7
0
16 Feb 2022
Bayesian Nonparametrics for Offline Skill Discovery
Bayesian Nonparametrics for Offline Skill DiscoveryInternational Conference on Machine Learning (ICML), 2022
Valentin Villecroze
H. Braviner
Panteha Naderian
Chris J. Maddison
Gabriel Loaiza-Ganem
BDLOffRL
266
9
0
09 Feb 2022
Challenging Common Assumptions in Convex Reinforcement Learning
Challenging Common Assumptions in Convex Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Mirco Mutti
Ric De Santi
Piersilvio De Bartolomeis
Marcello Restelli
OffRL
341
23
0
03 Feb 2022
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