Deep Reinforcement Learning for Fault-Adaptive Routing in Eisenstein-Jacobi Interconnection Topologies
Deep Reinforcement Learning for Fault-Adaptive Routing in Eisenstein-Jacobi Interconnection Topologies explores Develop a RL-based routing tool for adaptive, fault-resilient communication in many-core architectures.. Commercial viability score: 6/10 in Fault-Tolerant Networks.
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