We explore the problem of imitation learning (IL) in the context of
mean...
We study the two-party communication complexity of functions with large
...
Stochastic optimal control and games have found a wide range of applicat...
We study policy gradient for mean-field control in continuous time in a
...
Mean field control (MFC) problems have been introduced to study social o...
The designs of many large-scale systems today, from traffic routing
envi...
Non-cooperative and cooperative games with a very large number of player...
Recent advances in multiagent learning have seen the introduction ofa fa...
The recent emergence of navigational tools has changed traffic patterns ...
We introduce two algorithms based on a policy iteration method to numeri...
Mean Field Games (MFGs) can potentially scale multi-agent systems to
ext...
Fishing quotas are unpleasant but efficient to control the productivity ...
Financial markets and more generally macro-economic models involve a lar...
Mean field games (MFG) and mean field control problems (MFC) are framewo...
Mean Field Games (MFG) have been introduced to tackle games with a large...
Concave Utility Reinforcement Learning (CURL) extends RL from linear to
...
We present a method enabling a large number of agents to learn how to fl...
We address scaling up equilibrium computation in Mean Field Games (MFGs)...
In this paper, zero-sum mean-field type games (ZSMFTG) with linear dynam...
In this paper, zero-sum mean-field type games (ZSMFTG) with linear dynam...
In this paper, we deepen the analysis of continuous time Fictitious Play...
We present a Reinforcement Learning (RL) algorithm to solve infinite hor...
We use a deep neural network to generate controllers for optimal trading...
The theory of mean field games aims at studying deterministic or stochas...
Generative Adversarial Networks (GANs), introduced in 2014 [12], have
ce...
We develop a general reinforcement learning framework for mean field con...
We investigate reinforcement learning for mean field control problems in...
We propose two numerical methods for the optimal control of McKean-Vlaso...
We propose two algorithms for the solution of the optimal control of erg...
The theory of Mean Field Games (MFG) allows characterizing the Nash
equi...