Category: Deep Learning
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Reinforcement Learning Trading Agent for Electricity Markets
In this project, I designed an AI trading agent for electricity markets using deep reinforcement learning, trained with curriculum learning. The agent showcases strong performance in day-ahead power markets by taking in price and grid forecasts (that I developed myself using transformer models) and outputting optimal bids for the next…
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Fatigue Detection with Wearable Devices using Transformer Machine Learning Models
Fatigue is a common symptom in many chronic diseases, such as multiple sclerosis and psychiatric disorders. Currently, the progress of a patient’s fatigue needs to be monitored manually and is time consuming. Together with the ETH AI Center, I explored the feasibility of automated fatigue monitoring with machine learning using…
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Implementation of a Blackjack Playing Agent: Combining Reinforcement Learning and Card-Counting
Blackjack is one of the most popular casino games in the world even though it is inherently unfair towards the player and strongly favors the “house”. In order to still make a profit, professional Blackjack players resort to a strategy called card counting. In this project, I combined card counting…