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Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks. (arXiv:2111.12064v2 [cs.IT] UPDATED)
cs.LG updates on arXiv.org arxiv.org
Collaborative deep reinforcement learning (CDRL) algorithms in which multiple
agents can coordinate over a wireless network is a promising approach to enable
future intelligent and autonomous systems that rely on real-time
decision-making in complex dynamic environments. Nonetheless, in practical
scenarios, CDRL faces many challenges due to the heterogeneity of agents and
their learning tasks, different environments, time constraints of the learning,
and resource limitations of wireless networks. To address these challenges, in
this paper, a novel semantic-aware CDRL method is …
arxiv cellular collaborative learning networks reinforcement reinforcement learning semantic wireless