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Complete stability analysis of a heuristic ADP control design
This paper provides new stability results for Action-Dependent Heuristic Dynamic Programming (ADHDP), using a control algorithm that iteratively improves an internal model of the external world in the autonomous system based on its continuous interaction with the environment.
A Dual-Memory Architecture for Reinforcement Learning on Neuromorphic Platforms
Reinforcement learning (RL) is a foundation of learning in biological systems and provides a framework to address numerous challenges with real-world artificial intelligence applications.
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