51 citations · 51 across the 2 of their papers we have counts for
2 papers
cs.NI2023
Deep Reinforcement Learning for Uplink Scheduling in NOMA-URLLC Networks
Benoît-Marie Robaglia, Marceau Coupechoux, Dimitrios Tsilimantos
This article addresses the problem of Ultra Reliable Low Latency Communications (URLLC) in wireless networks, a framework with particularly stringent constraints imposed by many In…
cs.LG2019★ 51 cited
Estimating Risk and Uncertainty in Deep Reinforcement Learning
William R. Clements, Bastien Van Delft, Benoît-Marie Robaglia +2
Reinforcement learning agents are faced with two types of uncertainty. Epistemic uncertainty stems from limited data and is useful for exploration, whereas aleatoric uncertainty ar…