Deep Reinforcement Learning for Fault-Adaptive Routing in Eisenstein-Jacobi Interconnection Topologies

arXiv:2601.21090 · cs.DC, cs.AI · Submitted 2026-01-28 · Read on arXiv

cs.DC, cs.AI

Submitted: 2026-01-28

Updated: 2026-01-28

DOI: 10.1109/ACCESS.2026.3733611

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Reinforcement Learning — 22× in this paper · explained in 4 episodes
• Core — 7× in this paper · explained in 2 episodes
• Reward Function — 6× in this paper · explained in 2 episodes
• Packet Delivery Ratio — 5× in this paper
• Computational overhead — 4× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 4× in this paper · explained in 2 episodes
• Effective Reachability Ratio — 4× in this paper
• Reinforcement Learning (RL) — 4× in this paper · explained in 25 episodes
• Actor — 3× in this paper · explained in 3 episodes
• Objective Function — 3× in this paper · explained in 2 episodes
• Proximal Policy Optimization — 3× in this paper
• Robustness — 3× in this paper · explained in 5 episodes
• Action Space — 2× in this paper · explained in 1 episode
• Actor-Critic Architecture — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Gaussian and Eisenstein-Jacobi — 2× in this paper
• Generalization — 2× in this paper · explained in 13 episodes
• Generalized Advantage Estimation — 2× in this paper
• Local Optimization — 2× in this paper · explained in 2 episodes
• Markov Decision Process — 2× in this paper
• Proximal Policy Optimization (PPO) — 2× in this paper · explained in 5 episodes
• Q-learning — 2× in this paper · explained in 3 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Advanced Computer Science Applications and Technologies — 1× in this paper
• Alignment — 1× in this paper · explained in 1 episode
• Amortization — 1× in this paper · explained in 1 episode
• Communication Overhead — 1× in this paper · explained in 2 episodes
• Deep Reinforcement Learning (DRL) — 1× in this paper · explained in 2 episodes
• Energy Efficiency — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Graceful Degradation — 1× in this paper · explained in 2 episodes
• High-Performance Computing — 1× in this paper
• Markov Decision Process (MDP) — 1× in this paper · explained in 11 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Software Defined Networks — 1× in this paper

Sources

• Resilient Packet Forwarding: A Reinforcement Learning Approach to Routing in Gaussian Interconnected Networks with Clustered Faults
• Toward Self-Healing Networks-on-Chip: RL-Driven Routing in 2D Torus Architectures

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