A reinforcement-learning agent and a graph-neural-network decoder, trained in alternating rounds, jointly design short error-correcting codes that beat standard LDPC and BCH schemes on simulated AWGN channels.
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GNN-based Auto-Encoder for Short Linear Block Codes: A DRL Approach
A reinforcement-learning agent and a graph-neural-network decoder, trained in alternating rounds, jointly design short error-correcting codes that beat standard LDPC and BCH schemes on simulated AWGN channels.