2 papers
cs.NI2020
Deep reinforcement learning for RAN optimization and control
Yu Chen, Jie Chen, Ganesh Krishnamurthi +3
Due to the high variability of the traffic in the radio access network (RAN), fixed network configurations are not flexible enough to achieve optimal performance. Our vendors provi…
cs.LG2020
Policy Gradient from Demonstration and Curiosity
Jie Chen, Wenjun Xu
With reinforcement learning, an agent could learn complex behaviors from high-level abstractions of the task. However, exploration and reward shaping remained challenging for exist…