Deciphering Agent Decisions
Lancelot and Tim delve into the factors influencing an agent's decisions, emphasizing the importance of explainability and minimizing complexity in structured learning processes. They discuss the concept of free energy and its role in creating accurate yet simpler models to understand an agent's behavior better.In this clip
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Machine Learning Street Talk (MLST)
MULTI AGENT LEARNING - LANCELOT DA COSTA
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