Reinforcement learning for continuous-time jump Markov decision processes with applications to network dynamic pricing
Read the original at arxiv.org→arXiv:2608.20680v1 Announce Type: new Abstract: We study reinforcement learning (RL) in Continuous-Time Jump Markov Decision Processes (CTJMDPs) featuring general discrete state spaces (which need not possess a...
Original headline: "Reinforcement Learning for Continuous-Time Jump Markov Decision Processes with Applications to Network Dynamic Pricing"
Coverage timeline
- Aug 24, 04:00 UTC arXiv cs.LG lead source Reinforcement Learning for Continuous-Time Jump Markov Decision Processes with Applications to Network Dynamic Pricing