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Lyapunov Exponents for Diversity in Differentiable Games

Lyapunov Exponents for Diversity in Differentiable Games

24 December 2021
Jonathan Lorraine
Paul Vicol
Jack Parker-Holder
Tal Kachman
Luke Metz
Jakob N. Foerster
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Papers citing "Lyapunov Exponents for Diversity in Differentiable Games"

8 / 8 papers shown
Title
JacNet: Learning Functions with Structured Jacobians
JacNet: Learning Functions with Structured Jacobians
Jonathan Lorraine
Safwan Hossain
48
6
0
23 Aug 2024
Using Cooperative Game Theory to Prune Neural Networks
Using Cooperative Game Theory to Prune Neural Networks
M. Diaz-Ortiz
Benjamin Kempinski
Daphne Cornelisse
Yoram Bachrach
Tal Kachman
33
2
0
17 Nov 2023
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Andrei Atanov
Andrei Filatov
Teresa Yeo
Ajay Sohmshetty
Amir Zamir
OOD
42
10
0
01 Dec 2022
Task Selection for AutoML System Evaluation
Task Selection for AutoML System Evaluation
Jon Lorraine
Nihesh Anderson
Chansoo Lee
Quentin de Laroussilhe
Mehadi Hassen
44
4
0
26 Aug 2022
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations
  Among Team Members
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members
Daphne Cornelisse
Thomas Rood
Mateusz Malinowski
Yoram Bachrach
Tal Kachman
35
10
0
18 Aug 2022
"Other-Play" for Zero-Shot Coordination
"Other-Play" for Zero-Shot Coordination
Hengyuan Hu
Adam Lerer
A. Peysakhovich
Jakob N. Foerster
VLM
OffRL
136
218
0
06 Mar 2020
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach
Yuanhao Wang
Guodong Zhang
Jimmy Ba
33
100
0
16 Oct 2019
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,329
0
05 Nov 2016
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