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  • πŸ‘‹ Hi, I’m AntΓ³nio Castro (@ajmcastro)
  • πŸ‘€ I’m interested in Agents and Multi-agent Systems, Machine Learning (including Reinforcement Learning) and Optimization
  • 🌱 I’m currently using Python for Machine Learning and Software Agents
  • πŸ’žοΈ I’m looking to collaborate on Reinforcement learning and/or Agents and Multi-agent Systems projects
  • πŸ“« You can reach me by email: [email protected]

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Antonio de Castro's Projects

aima-csharp icon aima-csharp

C# implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima-data icon aima-data

Data files to accompany the algorithms from Norvig And Russell's "Artificial Intelligence - A Modern Approach"

aima-exercises icon aima-exercises

Exercises for the book Artificial Intelligence: A Modern Approach

aima-java icon aima-java

Java implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima-pseudocode icon aima-pseudocode

Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima-python icon aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

cbr-dde icon cbr-dde

A new methodology called Case-based Reasoning for Dynamic Distributed Environments (CBR-DDE) was introduced, based on the Case-based Reasoning (CBR) methodology. The goal was to obtain solutions (the outcome of the automatic negotiation) that decrease the average response time of the system to a new disruption problem, increasing its degree of trustworthiness, while maintaining the level of quality of the solutions presented.

crud-efcore icon crud-efcore

The goal of this repository is to show how to make a CRUD using Entity Framework

flight-time-prediction icon flight-time-prediction

Prediction of the aircraft movement times, namely, taxi-in, taxi-out, airtime and block time including weather information.

gfpgan icon gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

pade icon pade

Python Agent DEvelopment framework

quantum-reinforcement-learning icon quantum-reinforcement-learning

In this project, we combined quantum computing with reinforcement learning and studied its application to a board game to assess the benefits that it can introduce, namely its impact on the learning efficiency of an agent.

quantum-tail-assignment icon quantum-tail-assignment

This project aims to create an implementation of the tail assignment problem using a quantum computing approach.

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