{"total":16,"rows":[{"id":"2310.16620","title":"SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence","created":"2023-10-25","cited_by_count":169,"area":null},{"id":"2201.09754","title":"Deep Reinforcement Learning with Spiking Q-learning","created":"2022-01-21","cited_by_count":18,"area":null},{"id":"2206.03654","title":"Solving the Spike Feature Information Vanishing Problem in Spiking Deep Q Network with Potential Based Normalization","created":"2022-06-08","cited_by_count":10,"area":null},{"id":"2211.11760","title":"A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning","created":"2022-11-21","cited_by_count":5,"area":null},{"id":"2512.21586","title":"Videos are Sample-Efficient Supervisions: Behavior Cloning from Videos via Latent Representations","created":"2025-12-25","cited_by_count":5,"area":null},{"id":"2301.10292","title":"Tuning Synaptic Connections instead of Weights by Genetic Algorithm in Spiking Policy Network","created":"2022-12-29","cited_by_count":4,"area":null},{"id":"2412.10778","title":"Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos","created":"2024-12-14","cited_by_count":4,"area":null},{"id":"2301.07275","title":"Multi-compartment Neuron and Population Encoding Powered Spiking Neural Network for Deep Distributional Reinforcement Learning","created":"2023-01-18","cited_by_count":3,"area":null},{"id":"2305.04180","title":"Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity","created":"2023-05-07","cited_by_count":3,"area":null},{"id":"2404.15597","title":"GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL","created":"2024-04-24","cited_by_count":3,"area":null},{"id":"2506.03392","title":"Improving Performance of Spike-based Deep Q-Learning using Ternary Neurons","created":"2025-06-03","cited_by_count":3,"area":null},{"id":"2310.14839","title":"ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking Sampling","created":"2023-10-23","cited_by_count":2,"area":null},{"id":"2406.12200","title":"SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning","created":"2024-06-18","cited_by_count":2,"area":null},{"id":"2601.21778","title":"Error Amplification Limits ANN-to-SNN Conversion in Continuous Control","created":"2026-01-29","cited_by_count":1,"area":null},{"id":"2309.17203","title":"ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery","created":"2023-09-29","cited_by_count":0,"area":null},{"id":"2605.15058","title":"NeuroTrain: Surveying Local Learning Rules for Spiking Neural Networks with an Open Benchmarking Framework","created":"2026-05-14","cited_by_count":0,"area":null}],"next_cursor":null}