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cs.LG2026
Single or Multiple Policies for Phase-Structured Reinforcement Learning?
Guilhem Loussouarn, Nancy Nayak, Kin K. Leung
Many reinforcement-learning (RL) problems are non-stationary yet structured and can be decomposed into phases, each with its own transition probabilities and reward functions. When…
cs.LG2025
Spatial-Temporal Reinforcement Learning for Network Routing with Non-Markovian Traffic
Molly Wang, Kin. K Leung
Reinforcement Learning (RL) has been widely used for packet routing in communication networks, but traditional RL methods rely on the Markov assumption that the current state conta…