most citedIP-RSNN: Bi-level Intrinsic Plasticity Enables Learning-to-learn in Recurrent Spiking Neural Networks

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cs.LG2026

SpikeCredit: Temporal Credit Carrier for Reinforcement Learning with Sparse Rewards

Yingchao Yu, Pengfei Sun, Wenxuan Pan +4

Reinforcement learning (RL) with sparse rewards is challenging because delayed outcomes provide little guidance about which intermediate computations caused success or failure. We…