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Found 4 papers, 3 papers with code
On Predictive planning and counterfactual learning in active inference
Given the rapid advancement of artificial intelligence, understanding the foundations of intelligent behaviour is increasingly important.
Active Inference and Intentional Behaviour
First, we simulate the aforementioned in vitro experiments, in which neuronal cultures spontaneously learn to play Pong, by implementing nested, free energy minimising processes.
On efficient computation in active inference
Despite being recognized as neurobiologically plausible, active inference faces difficulties when employed to simulate intelligent behaviour in complex environments due to its computational cost and the difficulty of specifying an appropriate target distribution for the agent.
Active Inference for Stochastic Control
Active inference has emerged as an alternative approach to control problems given its intuitive (probabilistic) formalism.
