3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Abstracting Geo-specific Terrains to Scale Up Reinforcement Learning
Volkan Ustun, Soham Hans, Rajay Kumar +1
Multi-agent reinforcement learning (MARL) is increasingly ubiquitous in training dynamic and adaptive synthetic characters for interactive simulations on geo-specific terrains. Fra…
cs.AI2021★ 3 cited
Adaptive Synthetic Characters for Military Training
Volkan Ustun, Rajay Kumar, Adam Reilly +2
Behaviors of the synthetic characters in current military simulations are limited since they are generally generated by rule-based and reactive computational models with minimal in…