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POLICY ITERATION ALGORITHM Value iteration is a method of computing an optimal MDP policy and its value. It begins with an initial guess for the value function, and iteratively updates it towards the ...

Social media algorithms are complex sets of rules and calculations used by social media platforms to prioritize content in users’ feeds. They are like the invisible puppeteers behind the scenes, ...

A value iteration algorithm for time-aggregated Markov-decision processes (MDPs) is developed to solve problems with large state spaces. The algorithm is based on a novel approach which solves a time ...

In order to solve the problem of non-ideal training sets (i.e., the less-complete or over-complete sets) and implement one-iteration learning, a novel efficient quantum perceptron algorithm based on ...

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We introduce an improved algorithm named Topological Order Value Iteration (TOVI) that can circumvent the problem of unnecessary backups by detecting the structure of MDPs and backing up states based ...

Over the past 25 to 30 years, agile innovation methods have greatly increased success rates in software development, improved quality and speed to market, and boosted the motivation and ...

Repository files navigation This repository consist of cartpole balancing problem using value iteration reinforcement learning. env.py consist of code to simulate the physics of the cart pole and ...

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