(Personal Page)
AI, ML & Robotics MSc.
🇧🇷 🏳️‍🌈 🖖 Alola! Hi! :)
I am a Ph.D. candidate @ FEEC/Unicamp.
🔬 🕵🏻 Cognitive Architectures @ H.IAAC .
🦾 🤖 #EuFaçoRobô #EuFaçoRobôs.

Summary

1. 🖖 About me
2. 🔬🕵🏻 Work > Current Projects
3. 🤓📚 Work > Publications
4. 🦾🤖 Experience

Links

Github

PhD Project Page

Notice

This page is a work in progress, so please feel free to contact me if you have any questions or suggestions. My contact info are in the icons at the footer of the page.

News

• I Choose You, Reinforcement Learning! Trained RL Agents For Pokémon Battles

  Posted on September 30, 2024

  

  

  Work published in 23rd Brazilian Symposium on Games and Digital Entertainment (SBGames-2024). This paper presents an open-source benchmark of trained agents with classic RL methods and Deep Reinforcement Learning (DRL) techniques - PokeRL repository. [Read More]

  Tags:

  • sbgames
  • sbc
  • paper
  • en
  • reinforcement learning
  • deep learning
  • Pokémon

• Drives and Impulses - Shaping Motivation and Procedural Learning for Humanoid Robots

  Posted on August 27, 2024

  

  

  Work published in 2024 IEEE International Conference on Development and Learning (ICDL). This paper addresses our initial experiments exploring the acquired behavior by a simulated humanoid agent using two different motivational systems - drives and impulses - guiding the decision making process as part of the cognitive architecture. [Read More]

  Tags:

  • ieee
  • icdl
  • paper
  • en
  • drives
  • impulses
  • motivation

• Repository - Attention Trail

  Posted on May 20, 2024

  

  

  Repository with modules available for an attentional system based on the selection model for perception proposed by Colombini (2016). The modules were implemented with CST. [Read More]

  Tags:

  • repository
  • git
  • en
  • java
  • c
  • cognitive
  • attention

• Paper - A Procedural Constructive Learning Mechanism with Deep Reinforcement Learning for Cognitive Agents

  Posted on February 23, 2024

  

  

  Work published in 2024 at JINT Journal of Intelligent & Robotic Systems. presents a learning strategy that amalgamates deep reinforcement learning with procedural learning, mirroring the incremental learning process observed in human sensorimotor development. This approach is embedded within the CONAIM cognitive-attentional architecture, leveraging the cognitive tools of CST. [Read More]

  Tags:

  • springer
  • jint
  • paper
  • en

• Repository - Software engineering

  Posted on February 3, 2024

  

  

  Software engineering course content. Analysis of computer systems. Software requirements analysis. Requirements analysis methodologies. Software design: preliminary design and detailed design. Software design methodologies. The Object Orientation paradigm. Design and development of complex software systems. [Read More]

  Tags:

  • repository
  • git
  • en
  • javascript
  • html
  • css

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