Decoding of Moderate Length LDPC Codes via Learned Clustered Check Node Scheduling

In this work, we consider the sequential decoding of moderate length low-density parity-check (LDPC) codes via reinforcement learning (RL). The sequential decoding scheme is modeled as a Markov decision process (MDP), and an optimized decoding policy is subsequently obtained via RL. In contrast to our previous works, where an agent learns to schedule only a single check node (CN) within a group (c...