Abstract: Stationary functional brain networks (sFBNs) and dynamic functional brain networks (dFBNs) derived from resting-state functional MRI characterize the complex interactions of the human brain ...
Double Entropy Reinforcement Learning: Achieving Optimal Outcomes Despite Imperfect Teacher Guidance
Abstract: Reinforcement learning (RL) has become a key method for decision-making in autonomous vehicles, particularly in tasks like path planning and obstacle avoidance. However, RL often struggles ...
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