As independent AI researcher Simon Willison wrote in a post distinguishing serious AI-assisted development from casual “ vibe ...

A growing body of recent research and industry commentary suggests that a shift in how organisations approach site ...

Overview: Open-source now drives AI, cloud efficiency, and developer productivity.Projects with strong communities outperform ...

Abstract: This study focuses on the application of reinforcement learning in tactical military simulation environments involving heterogeneous multi-agent systems. Optimizing Heterogeneous Multi-Agent ...

The model simulates a synthetic equity market in discrete time. Agents trade based on behavioral heuristics, and prices are determined by a supply-demand clearing mechanism. The fundamental value ...

The SS-MA-PPO project implements a simulation-supervised multi-agent reinforcement learning framework for traffic control. It focuses on training multiple reinforcement learning agents using the ...