当前标签:SNN-RL

On-chip trainable hardware-based deep Q-networks approximating a backpropagation algorithm 穷酸秀才大艹包 2021-07-03 15:05 阅读:15 评论:0 推荐:0 编辑   
Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses 穷酸秀才大艹包 2021-06-26 14:30 阅读:33 评论:0 推荐:0 编辑   
A Spiking Neural Model for Stable Reinforcement of Synapses Based on Multiple Distal Rewards 穷酸秀才大艹包 2021-06-22 17:47 阅读:16 评论:0 推荐:0 编辑   
Population-coding and Dynamic-neurons improved Spiking Actor Network for Reinforcement Learning 穷酸秀才大艹包 2021-06-18 15:05 阅读:27 评论:0 推荐:0 编辑   
Functional Requirements for Reward-Modulated Spike-Timing-Dependent Plasticity 穷酸秀才大艹包 2021-05-12 21:29 阅读:29 评论:0 推荐:0 编辑   
Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity 穷酸秀才大艹包 2021-05-07 16:58 阅读:42 评论:0 推荐:0 编辑   
End to End Learning of Spiking Neural Network based on R-STDP for a Lane Keeping Vehicle 穷酸秀才大艹包 2021-03-17 20:44 阅读:110 评论:0 推荐:0 编辑   
Learning in Spiking Neural Networks by Reinforcement of Stochastic Synaptic Transmission 穷酸秀才大艹包 2021-02-27 20:03 阅读:45 评论:0 推荐:0 编辑   
A reinforcement learning algorithm for spiking neural networks 穷酸秀才大艹包 2021-02-26 17:41 阅读:70 评论:0 推荐:0 编辑   
Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks 穷酸秀才大艹包 2021-01-04 17:36 阅读:212 评论:0 推荐:0 编辑   
脉冲强化学习总结 穷酸秀才大艹包 2020-12-30 09:19 阅读:705 评论:2 推荐:0 编辑   
Reinforcement learning in cortical networks 穷酸秀才大艹包 2020-12-22 17:16 阅读:81 评论:0 推荐:0 编辑   
Computation by Time 穷酸秀才大艹包 2020-12-22 09:31 阅读:123 评论:0 推荐:0 编辑   
A Spiking Neural Network Model of an Actor-Critic Learning Agent 穷酸秀才大艹包 2020-12-17 09:26 阅读:140 评论:0 推荐:0 编辑   
Biologically Inspired SNN for Robot Control 穷酸秀才大艹包 2020-12-16 21:55 阅读:104 评论:0 推荐:0 编辑   
Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control 穷酸秀才大艹包 2020-12-11 21:29 阅读:175 评论:0 推荐:0 编辑   

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