day-to-day (1) deep learning (1) game theory (1) linear algebra (1) mathematical analysis (1) probability (3) reinforcement learning (2) research (3)

 day-to-day (1)

Day-to-day dynamics and FW algorithm

 deep learning (1)

A copy of online tutorial for Pytorch autograd framework

 game theory (1)

A variational inequality framework for network games (Parise and Ozdaglar, 2019)

 linear algebra (1)

Feasible link and path flow set

 mathematical analysis (1)

Day-to-day dynamics and FW algorithm

 probability (3)

Simple intuition on law of iterated expectation
A simple paradox of Bayesian
Random incidence

 reinforcement learning (2)

Value iteration process converges to an optimal policy
Improvimg greedily leads to optimality in policy iteration

 research (3)

Day-to-day dynamics and FW algorithm
Feasible link and path flow set
A variational inequality framework for network games (Parise and Ozdaglar, 2019)