2020
Learning to Decode: Reinforcement Learning for Decoding of Sparse Graph-Based Channel Codes
NeurIPS 2020poster
We show in this work that reinforcement learning can be successfully applied to decoding short to moderate length sparse graph-based channel codes. Specifically, we focus on low-density parity check (LDPC) codes, which for example have been standardized in the context of 5G cellular communication sy…