A literature survey classifies DRL-based vehicular task offloading into centralized, distributed, and hierarchical architectures and identifies recurring gaps in MDP modeling, reward design, and evaluation.
Two-Tier Multi-Access Partial Computation Offloading via NOMA: A Hybrid Deep Learning Approach for Energy Minimization,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
contradiction 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
contradiction 1polarities
contest 1representative citing papers
citing papers explorer
-
Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures
A literature survey classifies DRL-based vehicular task offloading into centralized, distributed, and hierarchical architectures and identifies recurring gaps in MDP modeling, reward design, and evaluation.