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2004.11935
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The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget
International Conference on Learning Representations (ICLR), 2020
24 April 2020
Anirudh Goyal
Yoshua Bengio
M. Botvinick
Sergey Levine
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Papers citing
"The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget"
15 / 15 papers shown
Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces
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Project Sid: Many-agent simulations toward AI civilization
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Andrew Ahn
Nic Becker
Stephanie Carroll
Nico Christie
...
Shuying Luo
Peter Y Wang
Mathew Willows
Feitong Yang
Guangyu Robert Yang
LLMAG
LM&Ro
AI4CE
479
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Satisficing Exploration for Deep Reinforcement Learning
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Saurabh Kumar
Ramki Gummadi
Benjamin Van Roy
287
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0
16 Jul 2024
Bayesian Reinforcement Learning with Limited Cognitive Load
Open Mind (OM), 2023
Dilip Arumugam
Mark K. Ho
Noah D. Goodman
Benjamin Van Roy
OffRL
259
16
0
05 May 2023
Representation Learning in Deep RL via Discrete Information Bottleneck
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Riashat Islam
Hongyu Zang
Manan Tomar
Aniket Didolkar
Md. Mofijul Islam
...
Tariq Iqbal
Xin-hui Li
Anirudh Goyal
N. Heess
Alex Lamb
SSL
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213
12
0
28 Dec 2022
Understanding the Complexity Gains of Single-Task RL with a Curriculum
International Conference on Machine Learning (ICML), 2022
Qiyang Li
Yuexiang Zhai
Yi-An Ma
Sergey Levine
458
20
0
24 Dec 2022
Minimum Description Length Control
International Conference on Learning Representations (ICLR), 2022
Theodore H. Moskovitz
Ta-Chu Kao
M. Sahani
M. Botvinick
290
1
0
17 Jul 2022
Retrieval-Augmented Reinforcement Learning
International Conference on Machine Learning (ICML), 2022
Anirudh Goyal
A. Friesen
Andrea Banino
T. Weber
Nan Rosemary Ke
...
Michal Valko
Simon Osindero
Timothy Lillicrap
N. Heess
Charles Blundell
OffRL
489
69
0
17 Feb 2022
Interpretable Learned Emergent Communication for Human-Agent Teams
IEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2022
Seth Karten
Mycal Tucker
Huao Li
Siva Kailas
Michael Lewis
Katia Sycara
AI4CE
323
13
0
19 Jan 2022
Towards an Understanding of Default Policies in Multitask Policy Optimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Theodore H. Moskovitz
Michael Arbel
Jack Parker-Holder
Aldo Pacchiano
412
10
0
04 Nov 2021
Learning Robust Variational Information Bottleneck with Reference
Weizhu Qian
Bowei Chen
Xiaowei Huang
AAML
173
1
0
29 Apr 2021
Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration
International Conference on Learning Representations (ICLR), 2021
Jaekyeom Kim
Minjung Kim
Dongyeon Woo
Gunhee Kim
229
20
0
23 Mar 2021
Predictive Information Accelerates Learning in RL
Neural Information Processing Systems (NeurIPS), 2020
Kuang-Huei Lee
Ian S. Fischer
Anthony Z. Liu
Yijie Guo
Honglak Lee
John F. Canny
S. Guadarrama
390
80
0
24 Jul 2020
Surprisal-Triggered Conditional Computation with Neural Networks
Loren Lugosch
Derek Nowrouzezahrai
B. Meyer
262
6
0
02 Jun 2020
Large scale evaluation of importance maps in automatic speech recognition
V. Trinh
Michael I. Mandel
257
4
0
21 May 2020
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