Your browser does not support the audio element. When I first decided to break into AI and machine learning, it felt like stepping into a maze without a map ...

Sichkar V. N. "Reinforcement Learning Algorithms in Global Path Planning for Mobile Robot", 2019 International Conference on Industrial Engineering, Applications and ...

Bioinformatics demands professionals skilled in both computing and the biological sciences, yet introducing these interdisciplinary concepts at earlier educational stages remains challenging. Here, we ...

This project is all about exploring Reinforcement Learning (RL) basic algorithms. We use mazes of different sizes as our playground to see how different RL techniques can find their way out. We make ...

Generating synthetic locomotory and neural data is a useful yet cumbersome step commonly required to study theoretical models of the brain’s role in spatial navigation. This process can be time ...

The basal ganglia (BG) contribute to reinforcement learning (RL) and decision-making, but unlike artificial RL agents, it relies on complex circuitry and dynamic dopamine modulation of opponent ...

Not having access to compact and meaningful representations is known to significantly increase the complexity of reinforcement learning (RL). For this reason, it can be useful to perform state ...