Sensory Prediction Error Signals in the Neocortex with Blake Richards - #331
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Adaptability in Reinforcement Learning
This chapter explores the implementation of reinforcement learning in simple environments, focusing on adaptability and response to changing reward structures. The discussion highlights the significance of utilizing multiple successor representations and predictive memories to enhance the performance of RL systems in dynamic contexts.
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