2 papers
cs.LG2026
Federated Distributional Reinforcement Learning with Distributional Critic Regularization
David Millard, Cecilia Alm, Rashid Ali +2
Federated reinforcement learning typically aggregates value functions or policies by parameter averaging, which emphasizes expected return and can obscure statistical multimodality…
cs.NI2023
A Federated Reinforcement Learning Framework for Link Activation in Multi-link Wi-Fi Networks
Rashid Ali, Boris Bellalta
Next-generation Wi-Fi networks are looking forward to introducing new features like multi-link operation (MLO) to both achieve higher throughput and lower latency. However, given t…