Fetching the paper…
Reading the bibliography…
We consider the problem of representing collective behavior of large populations and predicting the evolution of a population distribution over a discrete state space.
Information theory and statistical mechanics
Edwin T Jaynes · 1957
Earlier work this paper cites.
Optimal adaptive policies for markov decision processes
Apostolos N Burnetas and Michael N Katehakis · 1997
Earlier work this paper cites.
Multiagent reinforcement learning: theoretical framework and an algorithm
Junling Hu, Michael P Wellman, et al · 1998
Earlier work this paper cites.
Introduction to Reinforcement Learning
Richard S. Sutton and Andrew G. Barto · 1998
Earlier work this paper cites.
Algorithms for inverse reinforcement learning
Andrew Y. Ng and Stuart Russell · 2000
Earlier work this paper cites.
Safe and effective importance sampling
Art Owen and Yi Zhou · 2000
Earlier work this paper cites.
Policy gradient methods for reinforcement learning with function approximation
Richard S Sutton, David A McAllester, Satinder P Singh, and Yishay Mansour · 2000
Earlier work this paper cites.
Value-function reinforcement learning in markov games
Michael L Littman · 2001
Earlier work this paper cites.
Large population stochastic dynamic games: closed-loop mckean-vlasov systems and the nash certainty equivalence principle
Minyi Huang, Roland P Malhamé, Peter E Caines, et al · 2006
Earlier work this paper cites.
Mean field games
Jean-Michel Lasry and Pierre-Louis Lions · 2007
Earlier work this paper cites.
Maximum entropy inverse reinforcement learning
Brian D Ziebart, Andrew L Maas, J Andrew Bagnell, and Anind K Dey · 2008
Earlier work this paper cites.
A reference case for mean field games models
Olivier Guéant · 2009
Earlier work this paper cites.
Discrete time, finite state space mean field games
Diogo A Gomes, Joana Mohr, and Rafael Rigao Souza · 2010
Cited alongside, same era.
Computation of mean field equilibria in economics
Aimé Lachapelle, Julien Salomon, and Gabriel Turinici · 2010
Cited alongside, same era.
Statsmodels: Econometric and statistical modeling with python
Skipper Seabold and Josef Perktold · 2010
Cited alongside, same era.
Relative entropy inverse reinforcement learning
Abdeslam Boularias, Jens Kober, and Jan Peters · 2011
Cited alongside, same era.
Mean field games and applications
Olivier Guéant, Jean-Michel Lasry, and Pierre-Louis Lions · 2011
Cited alongside, same era.
Opening closed regimes: what was the role of social media during the arab spring?, 2011
Philip N Howard, Aiden Duffy, Deen Freelon, Muzammil M Hussain, Will Mari, and Marwa Maziad · 2011
Cited alongside, same era.
Coevolve: A joint point process model for information diffusion and network co-evolution
Mehrdad Farajtabar, Yichen Wang, Manuel Gomez Rodriguez, Shuang Li, Hongyuan Zha, and Le Song · 2015
Later among the works it cites.
Existence and uniqueness result for mean field games with congestion effect on graphs
Olivier Guéant · 2015
Later among the works it cites.
Continuous control with deep reinforcement learning
Timothy P Lillicrap, Jonathan J Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, and Daan Wierstra · 2015
Later among the works it cites.
Social Media Usage: 2005-2015
Andrew Perrin · 2015
Later among the works it cites.
Maximum entropy deep inverse reinforcement learning
Markus Wulfmeier, Peter Ondruska, and Ingmar Posner · 2015
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Mean field games: numerical methods for the planning problem
Yves Achdou, Fabio Camilli, and Italo Capuzzo-Dolcetta · 2012
Cited alongside, same era.
Action time sharing policies for ergodic control of markov chains
Amarjit Budhiraja, Xin Liu, and Adam Shwartz · 2012
Cited alongside, same era.
Learning objective functions for manipulation
Mrinal Kalakrishnan, Peter Pastor, Ludovic Righetti, and Stefan Schaal · 2013
Cited alongside, same era.
Playing atari with deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin Riedmiller · 2013
Cited alongside, same era.
A fully discrete semi-lagrangian scheme for a first order mean field game problem
Elisabetta Carlini and Francisco José Silva · 2014
Cited alongside, same era.
Deterministic policy gradient algorithms
David Silver, Guy Lever, Nicolas Heess, Thomas Degris, Daan Wierstra, and Martin Riedmiller · 2014
Cited alongside, same era.
Social Media Conversations About Race
Monica Anderson and Paul Hitlin · 2016
Later among the works it cites.
Opinion dynamics and stubbornness via multi-population mean-field games
Dario Bauso, Raffaele Pesenti, and Marco Tolotti · 2016
Later among the works it cites.
Learning and forecasting opinion dynamics in social networks
Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, and Manuel Gomez Rodriguez · 2016
Later among the works it cites.
Guided cost learning: Deep inverse optimal control via policy optimization
Chelsea Finn, Sergey Levine, and Pieter Abbeel · 2016
Later among the works it cites.
This analysis shows how viral fake election news stories outperformed real news on facebook, 2016
Craig Silverman · 2016
Later among the works it cites.
Multi-agent actor-critic for mixed cooperative-competitive environments
Ryan Lowe, Yi Wu, Aviv Tamar, Jean Harb, Pieter Abbeel, and Igor Mordatch · 2017
Closest in time.
Faqs about trends on twitter, 2017
Twitter · 2017
Closest in time.