11 citations · 14 across the 4 of their papers we have counts for
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cs.LG2019★ 2 cited
A Latent Variational Framework for Stochastic Optimization
Philippe Casgrain
This paper provides a unifying theoretical framework for stochastic optimization algorithms by means of a latent stochastic variational problem. Using techniques from stochastic co…
cs.LG2019
Deep Q-Learning for Nash Equilibria: Nash-DQN
Philippe Casgrain, Brian Ning, Sebastian Jaimungal
Model-free learning for multi-agent stochastic games is an active area of research. Existing reinforcement learning algorithms, however, are often restricted to zero-sum games, and…