23 citations · 29 across the 9 of their papers we have counts for
3 papers · 1 filter
MEMENTO: Memory-Guided Memetic Code-as-Policy Evolution
Alkis Sygkounas, Victor Aregbede, Amy Loutfi +1
Long-horizon embodied tasks require policies that execute many dependent actions before task success can be observed. Representing policies as executable control pro- grams (code-a…
Evolutionary Discovery of Reinforcement Learning Algorithms via Large Language Models
Alkis Sygkounas, Amy Loutfi, Andreas Persson
Reinforcement learning algorithms are defined by their learning update rules, which are typically hand-designed and fixed. We present an evolutionary framework for discovering rein…
Interactive Double Deep Q-network: Integrating Human Interventions and Evaluative Predictions in Reinforcement Learning of Autonomous Driving
Alkis Sygkounas, Ioannis Athanasiadis, Andreas Persson +2
Integrating human expertise with machine learning is crucial for applications demanding high accuracy and safety, such as autonomous driving. This study introduces Interactive Doub…