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1611.07507
Cited By
Variational Intrinsic Control
22 November 2016
Karol Gregor
Danilo Jimenez Rezende
Daan Wierstra
DRL
OffRL
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Papers citing
"Variational Intrinsic Control"
50 / 311 papers shown
Reward is enough for convex MDPs
Neural Information Processing Systems (NeurIPS), 2021
Tom Zahavy
Brendan O'Donoghue
Guillaume Desjardins
Satinder Singh
347
81
0
01 Jun 2021
Did I do that? Blame as a means to identify controlled effects in reinforcement learning
Oriol Corcoll
Youssef Mohamed
Raul Vicente
256
3
0
01 Jun 2021
From Motor Control to Team Play in Simulated Humanoid Football
Siqi Liu
Guy Lever
Zhe Wang
J. Merel
S. M. Ali Eslami
...
Tuomas Haarnoja
Brendan D. Tracey
K. Tuyls
T. Graepel
N. Heess
275
150
0
25 May 2021
Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Mathieu Seurin
Florian Strub
Philippe Preux
Olivier Pietquin
179
9
0
20 May 2021
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning
AAAI Conference on Artificial Intelligence (AAAI), 2021
Jinxin Liu
Xuetao Zhang
Qiangxing Tian
Ruihao Zhang
278
25
0
11 Apr 2021
Touch-based Curiosity for Sparse-Reward Tasks
Sai Rajeswar
Cyril Ibrahim
Nitin Surya
Florian Golemo
David Vazquez
Rameswar Panda
Pedro H. O. Pinheiro
146
6
0
01 Apr 2021
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
International Conference on Machine Learning (ICML), 2021
Hiroki Furuta
T. Matsushima
Tadashi Kozuno
Y. Matsuo
Sergey Levine
Ofir Nachum
S. Gu
OffRL
152
16
0
23 Mar 2021
Mutual Information State Intrinsic Control
International Conference on Learning Representations (ICLR), 2021
Rui Zhao
Yang Gao
Pieter Abbeel
Volker Tresp
Wenyuan Xu
SSL
146
25
0
15 Mar 2021
Modelling Behavioural Diversity for Learning in Open-Ended Games
International Conference on Machine Learning (ICML), 2021
Nicolas Perez Nieves
Yaodong Yang
Oliver Slumbers
D. Mguni
Ying Wen
Jun Wang
287
77
0
14 Mar 2021
Understanding the Origin of Information-Seeking Exploration in Probabilistic Objectives for Control
Beren Millidge
A. Seth
Christopher L. Buckley
598
13
0
11 Mar 2021
Hard Attention Control By Mutual Information Maximization
Himanshu Sahni
Charles Isbell
98
0
0
10 Mar 2021
Behavior From the Void: Unsupervised Active Pre-Training
Neural Information Processing Systems (NeurIPS), 2021
Hao Liu
Pieter Abbeel
VLM
SSL
499
230
0
08 Mar 2021
Task-Agnostic Morphology Evolution
International Conference on Learning Representations (ICLR), 2021
D. Hejna
Pieter Abbeel
Lerrel Pinto
142
32
0
25 Feb 2021
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning
Victor Campos
Pablo Sprechmann
Steven Hansen
André Barreto
Steven Kapturowski
Alex Vitvitskyi
Adria Puigdomenech Badia
Charles Blundell
OffRL
OnRL
319
29
0
24 Feb 2021
Action Redundancy in Reinforcement Learning
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Nir Baram
Guy Tennenholtz
Shie Mannor
323
8
0
22 Feb 2021
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems
Adaptive Agents and Multi-Agent Systems (AAMAS), 2021
Yaodong Yang
Jun Luo
Ying Wen
Oliver Slumbers
D. Graves
H. Ammar
Jun Wang
Matthew E. Taylor
175
39
0
15 Feb 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
201
35
0
12 Feb 2021
Discovering a set of policies for the worst case reward
International Conference on Learning Representations (ICLR), 2021
Tom Zahavy
André Barreto
D. Mankowitz
Shaobo Hou
Brendan O'Donoghue
Iurii Kemaev
Satinder Singh
OffRL
204
24
0
08 Feb 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned
Julian Ibarz
Jie Tan
Chelsea Finn
Mrinal Kalakrishnan
P. Pastor
Sergey Levine
OffRL
375
622
0
04 Feb 2021
Hierarchical Reinforcement Learning By Discovering Intrinsic Options
International Conference on Learning Representations (ICLR), 2021
Jesse Zhang
Haonan Yu
Wenyuan Xu
BDL
410
95
0
16 Jan 2021
Geometric Entropic Exploration
Z. Guo
M. G. Azar
Alaa Saade
S. Thakoor
Bilal Piot
Bernardo Avila-Pires
Michal Valko
Thomas Mesnard
Tor Lattimore
Rémi Munos
231
36
0
06 Jan 2021
Towards Continual Reinforcement Learning: A Review and Perspectives
Journal of Artificial Intelligence Research (JAIR), 2020
Khimya Khetarpal
Matthew D Riemer
Irina Rish
Doina Precup
CLL
OffRL
560
381
0
25 Dec 2020
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey
Journal of Artificial Intelligence Research (JAIR), 2020
Cédric Colas
Tristan Karch
Olivier Sigaud
Pierre-Yves Oudeyer
862
120
0
17 Dec 2020
Policy Manifold Search for Improving Diversity-based Neuroevolution
Nemanja Rakićević
Antoine Cully
Petar Kormushev
145
0
0
15 Dec 2020
BeBold: Exploration Beyond the Boundary of Explored Regions
Tianjun Zhang
Huazhe Xu
Xiaolong Wang
Yi Wu
Kurt Keutzer
Joseph E. Gonzalez
Yuandong Tian
206
43
0
15 Dec 2020
Robust Multi-Agent Reinforcement Learning with Social Empowerment for Coordination and Communication
T. V. D. Heiden
Christoph Salge
E. Gavves
H. V. Hoof
139
10
0
15 Dec 2020
Relative Variational Intrinsic Control
AAAI Conference on Artificial Intelligence (AAAI), 2020
Kate Baumli
David Warde-Farley
Steven Hansen
Volodymyr Mnih
165
45
0
14 Dec 2020
Reset-Free Lifelong Learning with Skill-Space Planning
Kevin Lu
Aditya Grover
Pieter Abbeel
Igor Mordatch
CLL
OffRL
273
42
0
07 Dec 2020
Latent Skill Planning for Exploration and Transfer
International Conference on Learning Representations (ICLR), 2020
Kevin Xie
Homanga Bharadhwaj
Danijar Hafner
Animesh Garg
Florian Shkurti
281
24
0
27 Nov 2020
Continual Learning of Control Primitives: Skill Discovery via Reset-Games
Kelvin Xu
Siddharth Verma
Chelsea Finn
Sergey Levine
CLL
199
34
0
10 Nov 2020
Diversity-Enriched Option-Critic
Anand Kamat
Doina Precup
OffRL
149
10
0
04 Nov 2020
Representation Matters: Improving Perception and Exploration for Robotics
Markus Wulfmeier
Arunkumar Byravan
Tim Hertweck
I. Higgins
Ankush Gupta
...
Malcolm Reynolds
Denis Teplyashin
Agrim Gupta
Thomas Lampe
Martin Riedmiller
321
19
0
03 Nov 2020
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL
Neural Information Processing Systems (NeurIPS), 2020
Saurabh Kumar
Aviral Kumar
Sergey Levine
Chelsea Finn
OffRL
218
105
0
27 Oct 2020
Affordance as general value function: A computational model
Adaptive Behavior (AB), 2020
D. Graves
Johannes Günther
Jun Luo
AI4CE
314
6
0
27 Oct 2020
Behavior Priors for Efficient Reinforcement Learning
Journal of machine learning research (JMLR), 2020
Dhruva Tirumala
Alexandre Galashov
Hyeonwoo Noh
Leonard Hasenclever
Razvan Pascanu
...
Guillaume Desjardins
Wojciech M. Czarnecki
Arun Ahuja
Yee Whye Teh
N. Heess
242
46
0
27 Oct 2020
Variational Intrinsic Control Revisited
Taehwan Kwon
144
12
0
07 Oct 2020
Learning Diverse Options via InfoMax Termination Critic
Yuji Kanagawa
Tomoyuki Kaneko
214
1
0
06 Oct 2020
Temporal Difference Uncertainties as a Signal for Exploration
Sebastian Flennerhag
Jane X. Wang
Pablo Sprechmann
Francesco Visin
Alexandre Galashov
Steven Kapturowski
Diana Borsa
N. Heess
André Barreto
Razvan Pascanu
OffRL
206
16
0
05 Oct 2020
RODE: Learning Roles to Decompose Multi-Agent Tasks
International Conference on Learning Representations (ICLR), 2020
Tonghan Wang
Tarun Gupta
Anuj Mahajan
Bei Peng
Shimon Whiteson
Chongjie Zhang
OffRL
310
258
0
04 Oct 2020
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban
Peter Karkus
M. Berk Mirza
A. Guez
Andrew Jaegle
Timothy Lillicrap
Lars Buesing
N. Heess
T. Weber
OffRL
199
8
0
03 Oct 2020
Novelty Search in Representational Space for Sample Efficient Exploration
Ruo Yu Tao
Vincent François-Lavet
Joelle Pineau
302
48
0
28 Sep 2020
Physically Embedded Planning Problems: New Challenges for Reinforcement Learning
M. Berk Mirza
Andrew Jaegle
Jonathan J. Hunt
A. Guez
S. Tunyasuvunakool
...
Peter Karkus
S. Racanière
Lars Buesing
Timothy Lillicrap
N. Heess
AI4CE
156
13
0
11 Sep 2020
Action and Perception as Divergence Minimization
Danijar Hafner
Pedro A. Ortega
Jimmy Ba
Thomas Parr
Karl J. Friston
N. Heess
291
60
0
03 Sep 2020
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices
International Conference on Machine Learning (ICML), 2020
Emmy Liu
Aditi Raghunathan
Abigail Z. Jacobs
Chelsea Finn
OffRL
579
74
0
06 Aug 2020
Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion
Conference on Robot Learning (CoRL), 2020
Agrim Gupta
Tim Hertweck
Philipp Kloppner
Michael Bloesch
Michael Neunert
Markus Wulfmeier
S. Tunyasuvunakool
N. Heess
Martin Riedmiller
194
21
0
06 Aug 2020
A Development Cycle for Automated Self-Exploration of Robot Behaviors
AI Perspectives (AP), 2020
T. Roehr
Daniel Harnack
Hendrik Wöhrle
Felix Wiebe
M. Schilling
Oscar Lima
M. Langosz
Shivesh Kumar
S. Straube
Frank Kirchner
198
2
0
29 Jul 2020
Learning Compositional Neural Programs for Continuous Control
Thomas Pierrot
Nicolas Perrin
Feryal M. P. Behbahani
Alexandre Laterre
Olivier Sigaud
Karim Beguir
Nando de Freitas
CLL
268
4
0
27 Jul 2020
Efficient Empowerment Estimation for Unsupervised Stabilization
International Conference on Learning Representations (ICLR), 2020
Ruihan Zhao
Kevin Lu
Pieter Abbeel
Stas Tiomkin
140
10
0
14 Jul 2020
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate
Mirco Mutti
Lorenzo Pratissoli
Marcello Restelli
229
21
0
09 Jul 2020
Model-based Reinforcement Learning: A Survey
Thomas M. Moerland
Joost Broekens
Aske Plaat
Catholijn M. Jonker
OffRL
493
63
0
30 Jun 2020
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