1 citations · 1 across the 3 of their papers we have counts for
4 papers
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…
Self-motion as a structural prior for coherent and robust formation of cognitive maps
Yingchao Yu, Pengfei Sun, Yaochu Jin +7
Most computational accounts of cognitive maps assume that stability is achieved primarily through sensory anchoring, with self-motion contributing to incremental positional updates…
Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients
Leming Wu, Yaochu Jin, Kuangrong Hao +1
Federated learning (FL) enables collaborative training of deep learning models without requiring data to leave local clients, thereby preserving client privacy. The aggregation pro…
IP-RSNN: Bi-level Intrinsic Plasticity Enables Learning-to-learn in Recurrent Spiking Neural Networks
Yingchao Yu, Yaochu Jin, Kuangrong Hao +5
Learning-to-learn (L2L), defined as progressively faster learning across similar tasks, is fundamental to both neuroscience and artificial intelligence. However, its neural basis r…