Active Inference = Real OODA: Free Energy Principle Decoded
No Way Out
00:00
Exploring Markov and POMDP in Partially Observable Models and Decision-Making Processes
This chapter explores the concepts of Markov and POMDP in the context of partially observable models and decision-making processes. It delves into the Markov property, hidden causes of sensory observations, and introduces the Markov decision process as a statistical model.
Play episode from 23:20
Transcript
