10 citations · 30 across the 9 of their papers we have counts for
3 papers · 1 filter
ODE-based Recurrent Model-free Reinforcement Learning for POMDPs
Xuanle Zhao, Duzhen Zhang, Liyuan Han +2
Neural ordinary differential equations (ODEs) are widely recognized as the standard for modeling physical mechanisms, which help to perform approximate inference in unknown physica…
Attention-free Spikformer: Mixing Spike Sequences with Simple Linear Transforms
Qingyu Wang, Duzhen Zhang, Tielin Zhang +1
By integrating the self-attention capability and the biological properties of Spiking Neural Networks (SNNs), Spikformer applies the flourishing Transformer architecture to SNNs de…
Tuning Synaptic Connections instead of Weights by Genetic Algorithm in Spiking Policy Network
Duzhen Zhang, Tielin Zhang, Shuncheng Jia +2
Learning from interaction is the primary way that biological agents acquire knowledge about their environment and themselves. Modern deep reinforcement learning (DRL) explores a co…