2 papers
cs.AI2023
Noise Distribution Decomposition based Multi-Agent Distributional Reinforcement Learning
Wei Geng, Baidi Xiao, Rongpeng Li +3
Generally, Reinforcement Learning (RL) agent updates its policy by repetitively interacting with the environment, contingent on the received rewards to observed states and undertak…
cs.NI2023
Ten issues of NetGPT
Wen Tong, Chenghui Peng, Tingting Yang +15
With the rapid development and application of foundation models (FMs), it is foreseeable that FMs will play an important role in future wireless communications. As current Artifici…