2 papers
cs.SE2026
GameEngineBench: Evaluating Coding Agents on Real C++ Runtime Environments
Brian La, Sejoon Chang, Ben Kim +5
Game engines provide real-time simulation, rendering, physics, interaction, networking, and asset pipelines, making them valuable not only for games but also for 3D applications in…
cs.MA2025
Skill-Aligned Fairness in Multi-Agent Learning for Collaboration in Healthcare
Promise Osaine Ekpo, Brian La, Thomas Wiener +5
Fairness in multi-agent reinforcement learning (MARL) is often framed as a workload balance problem, overlooking agent expertise and the structured coordination required in real-wo…