Explores computer simulations in cell biology, focusing on Molecular Dynamics and Monte Carlo, to gain insights into complex biological systems and their limitations.
Explores coordination and learning in distributed multiagent systems, covering social laws, task exchange, constraint satisfaction, and coordination algorithms.
Delves into spatial memory usage in RL agents for maze navigation tasks, showing improved performance with visual landmarks but inconsistent results in path choosing.