Great programmers write code for humans and computers. Neglect any of those and you will write poor code. For one or the other.
I'm a PhD student in Computer Science at GSSI and a Deep Reinforcement Learning researcher. I always like to try novel approaches and find unusual ways to solve a problem, looking beyond the immediate solutions. As such, some of my results are very very awful. Some others are very very exciting. And I think that's beautiful.
Also - and this is an important warning - don't expect me to create dozens of classes with intricate multi-hierarchy objects. My goal is to write clean, simple, and, of course, fast code. However, I don't see performance as the main target, but rather as the result of treating the computer with care.
- WorldDynamics.jl: A Julia Package for Developing and Simulating Integrated Assessment Models
- Exploring Large Language Models Capabilities to Explain Decision Trees
- Unveiling the Key Features Influencing Game Agents with Different Levels of Robustness
- Integrated assessment modeling using WorldDynamics.jl
- Deep Reinforcement Learning in foraging simulation
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