Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1310.1863
Cited By
v1
v2 (latest)
Empowerment -- an Introduction
7 October 2013
Christoph Salge
C. Glackin
Daniel Polani
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Empowerment -- an Introduction"
50 / 84 papers shown
SOMBRL: Scalable and Optimistic Model-Based RL
Bhavya Sukhija
Lenart Treven
Carmelo Sferrazza
Florian Dorfler
Pieter Abbeel
Andreas Krause
OffRL
318
4
0
25 Nov 2025
Sample-efficient and Scalable Exploration in Continuous-Time RL
Klemens Iten
Lenart Treven
Bhavya Sukhija
Florian Dorfler
Andreas Krause
OffRL
200
2
0
28 Oct 2025
Training LLM Agents to Empower Humans
Evan Ellis
Vivek Myers
Jens Tuyls
Sergey Levine
Anca Dragan
Benjamin Eysenbach
242
1
0
15 Oct 2025
Information-Theoretic Policy Pre-Training with Empowerment
Moritz Schneider
Robert Krug
Narunas Vaskevicius
Luigi Palmieri
Michael Volpp
Joschka Boedecker
OffRL
171
1
0
07 Oct 2025
Estimating the Empowerment of Language Model Agents
Jinyeop Song
Jeff Gore
Max Kleiman-Weiner
193
1
0
26 Sep 2025
Agent-centric learning: from external reward maximization to internal knowledge curation
Hanqi Zhou
Fryderyk Mantiuk
David G. Nagy
Charley M. Wu
267
0
0
29 Jul 2025
Characterizing AI Agents for Alignment and Governance
Atoosa Kasirzadeh
Iason Gabriel
459
30
0
30 Apr 2025
The Work Capacity of Channels with Memory: Maximum Extractable Work in Percept-Action Loops
Lukas J. Fiderer
Paul C. Barth
Isaac D. Smith
Hans J. Briegel
351
1
0
08 Apr 2025
Intrinsically-Motivated Humans and Agents in Open-World Exploration
Aly Lidayan
Yuqing Du
Eliza Kosoy
Maria Rufova
Pieter Abbeel
Alison Gopnik
516
8
0
31 Mar 2025
Towards Empowerment Gain through Causal Structure Learning in Model-Based RL
Hongye Cao
Fan Feng
Meng Fang
Shaokang Dong
Zhenxing Ge
Jing Huo
Yang Gao
380
3
0
14 Feb 2025
Learning to Assist Humans without Inferring Rewards
Neural Information Processing Systems (NeurIPS), 2024
Vivek Myers
Evan Ellis
Sergey Levine
Benjamin Eysenbach
Anca Dragan
725
12
0
17 Jan 2025
SuPLE: Robot Learning with Lyapunov Rewards
IEEE International Conference on Robotics and Automation (ICRA), 2024
Phu Nguyen
Daniel Polani
Stas Tiomkin
284
0
0
20 Nov 2024
Latent-Predictive Empowerment: Measuring Empowerment without a Simulator
Andrew Levy
A. Allievi
George Konidaris
391
2
0
15 Oct 2024
Constrained Skill Discovery: Quadruped Locomotion with Unsupervised Reinforcement Learning
Vassil Atanassov
Wanming Yu
Alexander L. Mitchell
M. N. Finean
Ioannis Havoutis
SSL
367
7
0
10 Oct 2024
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills
International Conference on Machine Learning (ICML), 2023
Seongun Kim
Kyowoon Lee
Jaesik Choi
SSL
DRL
354
16
0
30 Oct 2023
Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill Learning
Andrew Levy
Sreehari Rammohan
A. Allievi
S. Niekum
George Konidaris
284
7
0
06 Jul 2023
CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning
Conference on Robot Learning (CoRL), 2023
Jinxin Liu
Lipeng Zu
Li He
Xuetao Zhang
OffRL
404
13
0
23 Jun 2023
Selection for short-term empowerment accelerates the evolution of homeostatic neural cellular automata
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2023
Caitlin Grasso
Josh Bongard
186
4
0
24 May 2023
Controlled Diversity with Preference : Towards Learning a Diverse Set of Desired Skills
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Maxence Hussonnois
Thommen George Karimpanal
Santu Rana
242
7
0
07 Mar 2023
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
216
6
0
24 Feb 2023
Intrinsic Motivation in Dynamical Control Systems
Stas Tiomkin
I. Nemenman
Daniel Polani
Naftali Tishby
252
11
0
29 Dec 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey
A. Aubret
L. Matignon
S. Hassas
314
57
0
19 Sep 2022
Intrinsically motivated option learning: a comparative study of recent methods
Telecommunications Forum (TELFOR), 2021
Đorđe Božić
Predrag Tadić
Mladen Nikolic
144
1
0
13 Jun 2022
Empowered Neural Cellular Automata
Caitlin Grasso
Josh Bongard
245
13
0
27 Apr 2022
Learning how to Interact with a Complex Interface using Hierarchical Reinforcement Learning
Gheorghe Comanici
Amelia Glaese
Anita Gergely
Daniel Toyama
Zafarali Ahmed
Tyler Jackson
P. Hamel
Doina Precup
170
4
0
21 Apr 2022
The Paradox of Choice: Using Attention in Hierarchical Reinforcement Learning
A. Nica
Khimya Khetarpal
Doina Precup
195
6
0
24 Jan 2022
Towards Robust Bisimulation Metric Learning
Mete Kemertas
Tristan Aumentado-Armstrong
OffRL
239
61
0
27 Oct 2021
Understanding the World Through Action
Conference on Robot Learning (CoRL), 2021
Sergey Levine
SSL
OffRL
181
27
0
24 Oct 2021
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization
S. Gu
Manfred Diaz
Daniel Freeman
Hiroki Furuta
Seyed Kamyar Seyed Ghasemipour
Anton Raichuk
Byron David
Erik Frey
Erwin Coumans
Olivier Bachem
182
15
0
10 Oct 2021
The Information Geometry of Unsupervised Reinforcement Learning
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
SSL
OffRL
290
40
0
06 Oct 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
Jianye Hao
Zhenxing Ge
Hongyao Tang
Chenjia Bai
Jinyi Liu
Zhaopeng Meng
Peng Liu
Zhen Wang
OffRL
527
178
0
14 Sep 2021
Learning Task Agnostic Skills with Data-driven Guidance
E. Klemsdal
Sverre Herland
Abdulmajid Murad
147
2
0
04 Aug 2021
Unsupervised Skill-Discovery and Skill-Learning in Minecraft
J. J. Nieto
Roger Creus
Xavier Giró-i-Nieto
SSL
DRL
264
7
0
18 Jul 2021
Experimental Evidence that Empowerment May Drive Exploration in Sparse-Reward Environments
International Conference on Development and Learning (ICDL), 2021
F. Massari
Martin Biehl
L. Meeden
Ryota Kanai
137
1
0
14 Jul 2021
Explore and Control with Adversarial Surprise
Arnaud Fickinger
Natasha Jaques
Samyak Parajuli
Michael Chang
Nicholas Rhinehart
Glen Berseth
Stuart J. Russell
Sergey Levine
323
8
0
12 Jul 2021
MADE: Exploration via Maximizing Deviation from Explored Regions
Neural Information Processing Systems (NeurIPS), 2021
Tianjun Zhang
Paria Rashidinejad
Jiantao Jiao
Yuandong Tian
Joseph E. Gonzalez
Stuart J. Russell
OffRL
254
50
0
18 Jun 2021
Causal Influence Detection for Improving Efficiency in Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2021
Maximilian Seitzer
Bernhard Schölkopf
Georg Martius
CML
378
107
0
07 Jun 2021
Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning
Jongwook Choi
Archit Sharma
Honglak Lee
Sergey Levine
S. Gu
DRL
297
23
0
02 Jun 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
350
27
0
11 Apr 2021
Mutual Information State Intrinsic Control
International Conference on Learning Representations (ICLR), 2021
Rui Zhao
Yang Gao
Pieter Abbeel
Volker Tresp
Wenyuan Xu
SSL
248
25
0
15 Mar 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
410
29
0
24 Feb 2021
BeBold: Exploration Beyond the Boundary of Explored Regions
Tianjun Zhang
Huazhe Xu
Xiaolong Wang
Yi Wu
Kurt Keutzer
Joseph E. Gonzalez
Yuandong Tian
237
44
0
15 Dec 2020
Reset-Free Lifelong Learning with Skill-Space Planning
Kevin Lu
Aditya Grover
Pieter Abbeel
Igor Mordatch
CLL
OffRL
335
42
0
07 Dec 2020
Continual Learning of Control Primitives: Skill Discovery via Reset-Games
Kelvin Xu
Siddharth Verma
Chelsea Finn
Sergey Levine
CLL
272
34
0
10 Nov 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
277
46
0
27 Oct 2020
Avoiding Side Effects By Considering Future Tasks
Victoria Krakovna
Laurent Orseau
Richard Ngo
Miljan Martic
Shane Legg
333
45
0
15 Oct 2020
Variational Intrinsic Control Revisited
Taehwan Kwon
191
12
0
07 Oct 2020
Learning Diverse Options via InfoMax Termination Critic
Yuji Kanagawa
Tomoyuki Kaneko
283
1
0
06 Oct 2020
Efficient Empowerment Estimation for Unsupervised Stabilization
International Conference on Learning Representations (ICLR), 2020
Ruihan Zhao
Kevin Lu
Pieter Abbeel
Stas Tiomkin
237
12
0
14 Jul 2020
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate
Mirco Mutti
Lorenzo Pratissoli
Marcello Restelli
301
22
0
09 Jul 2020
1
2
Next
Page 1 of 2
