8000 pereirarodrigo (Rodrigo) Β· GitHub
[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to content
View pereirarodrigo's full-sized avatar

Block or report pereirarodrigo

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
pereirarodrigo/README.md

πŸ‘‹ Hey, I’m Rodrigo


I’m Rodrigo Pereira Cruz, a cognitive scientist and AI researcher from πŸ‡§πŸ‡· Brazil, currently pursuing an MSc in Artificial Intelligence (AI) at the University of Essex.

🧠 My work lives at the intersection of AI, cognitive science, and computational neuroscience - where I explore how intelligence emerges, adapts, and self-organises.

While I started within traditional AI methods, my trajectory naturally led me toward neuro-inspired systems, probabilistic reasoning, and intrinsic learning mechanisms. I believe that building truly intelligent systems requires more than brute force - it demands understanding how learning itself unfolds.


πŸ” Research focus

  • Cognitive modelling - using RL and probabilistic models to simulate cognitive processes.
  • Intrinsic curiosity and meta-learning - exploring how agents self-motivate and adapt over time.
  • Spiking neural networks and neuron models - bridging bio-realism and machine learning.
  • Multi-agent reinforcement learning (MARL) - modelling distributed, emergent behaviours.
  • Imitation and inverse RL - capturing expert-like behavior and learning from it.
  • Probabilistic reasoning - making learning robust, explainable, and uncertainty-aware.

πŸ’‘ Current initiatives

🧬 Exploring embodied cognition and perceptual emergence through RL and neuro-inspired architectures.

🧠 Independent research projects (including my first preprint on Zenodo) focused on integrating RL into cognitive science frameworks.

🌍 Building bridges with European labs working in cognitive systems, neuro-symbolic AI, and adaptive learning.


🌐 Let's connect

πŸ“« I'm open to research collaborations, academic exchanges, or just a good conversation about intelligence (natural or artificial).


β€œThe mind is not a vessel to be filled, but a fire to be kindled.”
– Plutarch

Pinned Loading

  1. vijnana vijnana Public

    Exploring intrinsic meta-curiosity in autonomous agents.

    Python

  2. q_learning q_learning Public

    Reinforcement learning with Python and OpenAI Gym.

    Jupyter Notebook

  3. fuzzyl fuzzyl Public

    Analysing fuzzy logic and inference in approximate reasoning.

    Jupyter Notebook

  4. doominator doominator Public

    Doom-based reinforcement learning agent.

    Python

  5. gail_control gail_control Public

    Applying Generative Adversarial Imitation Learning to a control environment.

    Python 1

  6. project_spike project_spike Public

    Studying and applying spiking neural networks in reinforcement learning.

    Jupyter Notebook 6 2

0