ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1611.07507
  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 / 308 papers shown
Title
From "Thumbs Up" to "10 out of 10": Reconsidering Scalar Feedback in Interactive Reinforcement Learning
From "Thumbs Up" to "10 out of 10": Reconsidering Scalar Feedback in Interactive Reinforcement Learning
Hang Yu
Reuben M. Aronson
Katherine H. Allen
E. Short
207
8
0
17 Nov 2023
A Central Motor System Inspired Pre-training Reinforcement Learning for
  Robotic Control
A Central Motor System Inspired Pre-training Reinforcement Learning for Robotic Control
Pei Zhang
Zhaobo Hua
Jinliang Ding
301
0
0
14 Nov 2023
LOTUS: Continual Imitation Learning for Robot Manipulation Through
  Unsupervised Skill Discovery
LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill DiscoveryIEEE International Conference on Robotics and Automation (ICRA), 2023
Weikang Wan
Yifeng Zhu
Rutav Shah
Yuke Zhu
SSLLM&RoVLMCLL
446
50
0
03 Nov 2023
Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment
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
393
9
0
02 Nov 2023
Learning to Discover Skills through Guidance
Learning to Discover Skills through GuidanceNeural Information Processing Systems (NeurIPS), 2023
Hyunseung Kim
ByungKun Lee
Hojoon Lee
Dongyoon Hwang
Sejik Park
Kyushik Min
Jaegul Choo
304
11
0
31 Oct 2023
Contrastive Difference Predictive Coding
Contrastive Difference Predictive CodingInternational Conference on Learning Representations (ICLR), 2023
Chongyi Zheng
Ruslan Salakhutdinov
Benjamin Eysenbach
AI4TSOffRL
287
26
0
31 Oct 2023
Variational Curriculum Reinforcement Learning for Unsupervised Discovery
  of Skills
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of SkillsInternational Conference on Machine Learning (ICML), 2023
Seongun Kim
Kyowoon Lee
Jaesik Choi
SSLDRL
247
16
0
30 Oct 2023
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large
  Language Model Guidance
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
LLMAGLM&Ro
410
83
0
16 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
METRA: Scalable Unsupervised RL with Metric-Aware AbstractionInternational Conference on Learning Representations (ICLR), 2023
Seohong Park
Oleh Rybkin
Sergey Levine
OffRL
340
64
0
13 Oct 2023
Generative Intrinsic Optimization: Intrinsic Control with Model Learning
Generative Intrinsic Optimization: Intrinsic Control with Model Learning
Jianfei Ma
222
0
0
12 Oct 2023
Learning Diverse Skills for Local Navigation under Multi-constraint
  Optimality
Learning Diverse Skills for Local Navigation under Multi-constraint OptimalityIEEE International Conference on Robotics and Automation (ICRA), 2023
Jin Cheng
Marin Vlastelica
Pavel Kolev
Chenhao Li
Georg Martius
174
11
0
03 Oct 2023
Iterative Option Discovery for Planning, by Planning
Iterative Option Discovery for Planning, by Planning
Kenny Young
Richard S. Sutton
347
2
0
02 Oct 2023
Motif: Intrinsic Motivation from Artificial Intelligence Feedback
Motif: Intrinsic Motivation from Artificial Intelligence FeedbackInternational Conference on Learning Representations (ICLR), 2023
Martin Klissarov
P. DÓro
Shagun Sodhani
Roberta Raileanu
Pierre-Luc Bacon
Pascal Vincent
Amy Zhang
Mikael Henaff
LRMLLMAG
219
88
0
29 Sep 2023
CrossLoco: Human Motion Driven Control of Legged Robots via Guided
  Unsupervised Reinforcement Learning
CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning
Tianyu Li
Hyunyoung Jung
Matthew C. Gombolay
Yong Kwon Cho
Sehoon Ha
173
13
0
29 Sep 2023
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement
  Learning
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023
David Yunis
Justin Jung
Falcon Z. Dai
Matthew R. Walter
OffRL
210
0
0
08 Sep 2023
APART: Diverse Skill Discovery using All Pairs with Ascending Reward and
  DropouT
APART: Diverse Skill Discovery using All Pairs with Ascending Reward and DropouT
Hadar Schreiber Galler
Tom Zahavy
Guillaume Desjardins
Alon Cohen
133
0
0
24 Aug 2023
Language Reward Modulation for Pretraining Reinforcement Learning
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
Diversifying AI: Towards Creative Chess with AlphaZero
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
235
20
0
17 Aug 2023
Scope Loss for Imbalanced Classification and RL Exploration
Scope Loss for Imbalanced Classification and RL Exploration
Hasham Burhani
Xiaolong Shi
Jonathan Jaegerman
Daniel Balicki
140
1
0
08 Aug 2023
Offline Diversity Maximization Under Imitation Constraints
Offline Diversity Maximization Under Imitation Constraints
Marin Vlastelica
Jin Cheng
Georg Martius
Pavel Kolev
OffRL
463
2
0
21 Jul 2023
XSkill: Cross Embodiment Skill Discovery
XSkill: Cross Embodiment Skill DiscoveryConference on Robot Learning (CoRL), 2023
Mengda Xu
Zhenjia Xu
Cheng Chi
Manuela Veloso
Shuran Song
278
95
0
19 Jul 2023
Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill
  Learning
Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill Learning
Andrew Levy
Sreehari Rammohan
A. Allievi
S. Niekum
George Konidaris
214
6
0
06 Jul 2023
Landmark Guided Active Exploration with State-specific Balance
  Coefficient
Landmark Guided Active Exploration with State-specific Balance Coefficient
Fei Cui
Jiaojiao Fang
Mengke Yang
Guizhong Liu
147
0
0
30 Jun 2023
Curious Replay for Model-based Adaptation
Curious Replay for Model-based AdaptationInternational Conference on Machine Learning (ICML), 2023
Isaac Kauvar
Christopher Doyle
Linqi Zhou
Nick Haber
141
16
0
28 Jun 2023
On the Value of Myopic Behavior in Policy Reuse
On the Value of Myopic Behavior in Policy ReuseIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Kang Xu
Chenjia Bai
Delin Qu
Haoran He
Bin Zhao
Zhen Wang
Wei Li
Xuelong Li
164
2
0
28 May 2023
Successor-Predecessor Intrinsic Exploration
Successor-Predecessor Intrinsic ExplorationNeural Information Processing Systems (NeurIPS), 2023
Changmin Yu
Neil Burgess
M. Sahani
S. Gershman
218
5
0
24 May 2023
Unsupervised Discovery of Continuous Skills on a Sphere
Unsupervised Discovery of Continuous Skills on a Sphere
Takahisa Imagawa
Takuya Hiraoka
Yoshimasa Tsuruoka
290
1
0
21 May 2023
Behavior Contrastive Learning for Unsupervised Skill Discovery
Behavior Contrastive Learning for Unsupervised Skill DiscoveryInternational Conference on Machine Learning (ICML), 2023
Rushuai Yang
Chenjia Bai
Hongyi Guo
Siyuan Li
Bin Zhao
Zhen Wang
Peng Liu
Xuelong Li
SSL
221
27
0
08 May 2023
An Autonomous Non-monolithic Agent with Multi-mode Exploration based on
  Options Framework
An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options FrameworkIEEE International Joint Conference on Neural Network (IJCNN), 2023
JaeYoon Kim
Junyu Xuan
Christy Jie Liang
F. Hussain
299
1
0
02 May 2023
A Closer Look at Reward Decomposition for High-Level Robotic
  Explanations
A Closer Look at Reward Decomposition for High-Level Robotic ExplanationsInternational Conference on Development and Learning (ICDL), 2023
Wenhao Lu
Xufeng Zhao
S. Magg
M. Gromniak
Mengdi Li
S. Wermter
259
9
0
25 Apr 2023
Efficient Quality-Diversity Optimization through Diverse Quality Species
Efficient Quality-Diversity Optimization through Diverse Quality Species
Ryan Wickman
Bibek Poudel
Taylor Michael Villarreal
Xiaofei Zhang
Weizi Li
227
7
0
14 Apr 2023
Habits and goals in synergy: a variational Bayesian framework for
  behavior
Habits and goals in synergy: a variational Bayesian framework for behaviorNature Communications (Nat. Commun.), 2023
Dongqi Han
Kenji Doya
Dongsheng Li
Jun Tani
BDL
218
205
0
11 Apr 2023
MAP-Elites with Descriptor-Conditioned Gradients and Archive
  Distillation into a Single Policy
MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single PolicyAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2023
Maxence Faldor
Félix Chalumeau
Manon Flageat
Antoine Cully
218
25
0
07 Mar 2023
Controlled Diversity with Preference : Towards Learning a Diverse Set of
  Desired Skills
Controlled Diversity with Preference : Towards Learning a Diverse Set of Desired SkillsAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Maxence Hussonnois
Thommen George Karimpanal
Santu Rana
172
7
0
07 Mar 2023
Hierarchical Reinforcement Learning in Complex 3D Environments
Hierarchical Reinforcement Learning in Complex 3D Environments
Bernardo Avila-Pires
Feryal M. P. Behbahani
Hubert Soyer
Kyriacos Nikiforou
Thomas Keck
Satinder Singh
OffRL
146
0
0
28 Feb 2023
Learning Sparse Control Tasks from Pixels by Latent
  Nearest-Neighbor-Guided Explorations
Learning Sparse Control Tasks from Pixels by Latent Nearest-Neighbor-Guided Explorations
Ruihan Zhao
Ufuk Topcu
Sandeep Chinchali
Mariano Phielipp
124
4
0
28 Feb 2023
Leveraging Jumpy Models for Planning and Fast Learning in Robotic
  Domains
Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains
Jingwei Zhang
Jost Tobias Springenberg
Arunkumar Byravan
Leonard Hasenclever
A. Abdolmaleki
Dushyant Rao
N. Heess
Martin Riedmiller
127
5
0
24 Feb 2023
Diverse Policy Optimization for Structured Action Space
Diverse Policy Optimization for Structured Action SpaceAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Wenhao Li
Baoxiang Wang
Shanchao Yang
H. Zha
OffRL
149
1
0
23 Feb 2023
Controllability-Aware Unsupervised Skill Discovery
Controllability-Aware Unsupervised Skill DiscoveryInternational Conference on Machine Learning (ICML), 2023
Seohong Park
Kimin Lee
Youngwoon Lee
Pieter Abbeel
325
57
0
10 Feb 2023
Scaling Goal-based Exploration via Pruning Proto-goals
Scaling Goal-based Exploration via Pruning Proto-goalsInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Akhil Bagaria
Ray Jiang
Ramana Kumar
Tom Schaul
LRM
159
2
0
09 Feb 2023
Investigating the role of model-based learning in exploration and
  transfer
Investigating the role of model-based learning in exploration and transferInternational Conference on Machine Learning (ICML), 2023
Jacob Walker
Eszter Vértes
Yazhe Li
Gabriel Dulac-Arnold
Ankesh Anand
T. Weber
Jessica B. Hamrick
OffRL
159
8
0
08 Feb 2023
Predictable MDP Abstraction for Unsupervised Model-Based RL
Predictable MDP Abstraction for Unsupervised Model-Based RLInternational Conference on Machine Learning (ICML), 2023
Seohong Park
Sergey Levine
187
10
0
08 Feb 2023
Layered State Discovery for Incremental Autonomous Exploration
Layered State Discovery for Incremental Autonomous ExplorationInternational Conference on Machine Learning (ICML), 2023
Liyu Chen
Andrea Tirinzoni
A. Lazaric
Matteo Pirotta
148
0
0
07 Feb 2023
Towards Skilled Population Curriculum for Multi-Agent Reinforcement
  Learning
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning
Rongpin Wang
Longtao Zheng
Wei Qiu
Bowei He
Bo An
Zinovi Rabinovich
Yujing Hu
Yingfeng Chen
Tangjie Lv
Changjie Fan
110
3
0
07 Feb 2023
Diversity Through Exclusion (DTE): Niche Identification for
  Reinforcement Learning through Value-Decomposition
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-DecompositionAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
P. Sunehag
A. Vezhnevets
Edgar A. Duénez-Guzmán
Igor Mordach
Joel Z Leibo
144
2
0
02 Feb 2023
Internally Rewarded Reinforcement Learning
Internally Rewarded Reinforcement LearningInternational Conference on Machine Learning (ICML), 2023
Mengdi Li
Xufeng Zhao
Jae Hee Lee
C. Weber
S. Wermter
292
13
0
01 Feb 2023
Skill Decision Transformer
Skill Decision Transformer
Shyam Sudhakaran
S. Risi
OffRL
173
8
0
31 Jan 2023
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
230
25
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
209
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
183
9
0
29 Dec 2022
Previous
1234567
Next