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Modelling mPFC Activities in Reinforcement Learning Framework for Brain-Machine Interfaces.

, , , , and . NER, page 243-246. IEEE, (2019)

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Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation., , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 4173-4183. PMLR, (2020)GRID: A Platform for General Robot Intelligence Development., , , , and . CoRR, (2023)Decoding Reward Information from Local Field Potential and Spikes in Medial Prefrontal Cortex of Rats., , , , and . SMC, page 1015-1020. IEEE, (2020)Zap Q-Learning With Nonlinear Function Approximation., , , , and . NeurIPS, (2020)Estimating Neural Modulation via Adaptive Point Process Method in Brain-machine Interface., , , , and . EMBC, page 3078-3081. IEEE, (2020)IDDR-NGP: Incorporating Detectors for Distractors Removal with Instant Neural Radiance Field., , , , , and . ACM Multimedia, page 1343-1351. ACM, (2023)Zap~Q-Learning for Optimal Stopping Time Problems., , , and . CoRR, (2019)Tracking the Time Varying Neural Tuning via Adam on Point Process Observations., , , and . EMBC, page 195-198. IEEE, (2018)Waste Collection and Transportation Supervision Based on Improved YOLOv3 Model., , , , and . IEEE Access, (2022)Investigating Co-Activation between Medial Prefrontal and Primary Motor Cortical Spike Trains during Task Learning., , , , , , and . SMC, page 1269-1274. IEEE, (2020)