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Found 7 papers, 3 papers with code
An Application of Newsboy Problem in Supply Chain Optimisation of Online Fashion E-Commerce
We describe a supply chain optimization model deployed in an online fashion e-commerce company in India called Myntra.
A Convergent Off-Policy Temporal Difference Algorithm
In this work, we propose a convergent on-line off-policy TD algorithm under linear function approximation.
Generalized Speedy Q-learning
In most RL algorithms such as Q-learning, the Bellman equation and the Bellman operator play an important role.
A Generalized Minimax Q-learning Algorithm for Two-Player Zero-Sum Stochastic Games
This problem is formulated as a min-max Markov game in the literature.
Generalized Second Order Value Iteration in Markov Decision Processes
In this work, we propose a second order value iteration procedure that is obtained by applying the Newton-Raphson method to the successive relaxation value iteration scheme.
Successive Over Relaxation Q-Learning
We first derive a modified fixed point iteration for SOR Q-values and utilize stochastic approximation to derive a learning algorithm to compute the optimal value function and an optimal policy.
An Online Sample Based Method for Mode Estimation using ODE Analysis of Stochastic Approximation Algorithms
In many of the practical applications, the analytical form of the density is not known and only the samples from the distribution are available.
