Finding Meaning in Sparse Rewards
Some problems in life are inherently sparse. You can work hard, make many decisions, and still receive little or no feedback. Imagine working on a large research project you …
Ranking Counter-Strike 2 teams using Bradley-Terry model
Introduction When I was younger, I enjoyed playing Counter-Strike (CS) with my friends. I started with version 1.5, then moved on to 1.6, and later played CS:GO. Nowadays, I’m more …
Inverse Reinforcement Learning for epidemiology
There is a big challenge into designing a manual reward function to optimize sequential decision making during epidemics/pandemics. Thus, I proposed to use Inverse Reinforcement …
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