Population-size-Aware Policy Optimization for Mean-Field Games

7 February 2023

Papers citing "Population-size-Aware Policy Optimization for Mean-Field Games"

9 / 9 papers shown

Title
Hypernetwork-based approach for optimal composition design in partially controlled multi-agent systems Kyeonghyeon Park David Molina Concha Hyun-Rok Lee Chi-Guhn Lee Taesik Lee 70 0 0 18 Feb 2025
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior Kai Cui Sascha H. Hauck Christian Fabian Heinz Koeppl 32 6 0 12 Jul 2023
Learning Sparse Graphon Mean Field Games Christian Fabian Kai Cui Heinz Koeppl AI4CE 35 16 0 08 Sep 2022
Generalization in Mean Field Games by Learning Master Policies Sarah Perrin Mathieu Laurière Julien Pérolat Romuald Élie M. Geist Olivier Pietquin AI4CE 83 35 0 20 Sep 2021
Scaling up Mean Field Games with Online Mirror Descent Julien Perolat Sarah Perrin Romuald Elie Mathieu Laurière Georgios Piliouras M. Geist K. Tuyls Olivier Pietquin LRM AI4CE 53 45 0 28 Feb 2021
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning Kai Cui Heinz Koeppl 62 91 0 02 Feb 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 234 4,469 0 23 Jan 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,681 0 09 Mar 2017
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 177 9,327 0 28 May 2015