Kyle Pham

Risk-Informed Multi-Agent Reinforcement Learning for Embedded Systems on Resource-Constrained Hardware

Learning-enabled control systems increasingly rely on multi-agent reinforcement learning to operate in uncertain and interactive environments. While risk-aware decision-making has been shown to improve safety and robustness, deploying such algorithms on resource-constrained embedded platforms remains a significant chal...