activity
20162020
most citedModel-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning

39 citations · 74 across the 5 of their papers we have counts for

collaborators

6 papers

math.OC2020★ 1 cited

Policy Optimization for Linear-Quadratic Zero-Sum Mean-Field Type Games

René Carmona, Kenza Hamidouche, Mathieu Laurière +1

In this paper, zero-sum mean-field type games (ZSMFTG) with linear dynamics and quadratic utility are studied under infinite-horizon discounted utility function. ZSMFTG are a class…

math.OC2020

Linear-Quadratic Zero-Sum Mean-Field Type Games: Optimality Conditions and Policy Optimization

René Carmona, Kenza Hamidouche, Mathieu Laurière +1

In this paper, zero-sum mean-field type games (ZSMFTG) with linear dynamics and quadratic cost are studied under infinite-horizon discounted utility function. ZSMFTG are a class of…

math.OC2019★ 39 cited

Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning

René Carmona, Mathieu Laurière, Zongjun Tan

We study infinite horizon discounted Mean Field Control (MFC) problems with common noise through the lens of Mean Field Markov Decision Processes (MFMDP). We allow the agents to us…

math.OC2019★ 34 cited

Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods

René Carmona, Mathieu Laurière, Zongjun Tan

We investigate reinforcement learning in the setting of Markov decision processes for a large number of exchangeable agents interacting in a mean field manner. Applications include…

math.OC2018

Price of Anarchy for Mean Field Games

Rene Carmona, Christy V. Graves, Zongjun Tan

The price of anarchy, originally introduced to quantify the inefficiency of selfish behavior in routing games, is extended to mean field games. The price of anarchy is defined as t…

q-fin.TR2016

Optimal trading policies for wind energy producer

Zongjun Tan, Peter Tankov

We study the optimal trading policies for a wind energy producer who aims to sell the future production in the open forward, spot, intraday and adjustment markets, and who has acce…