4 papers · 1 filter
World models of environment, agent and joint agent-environment systems
Manuel Baltieri, Filippo Torresan, Yivan Zhang +2
World models are a central component of model-based reinforcement learning. They are usually discussed in terms of what variables they predict, such as observations, rewards, state…
Prior preferences in active inference agents: soft, hard, and goal shaping
Filippo Torresan, Ryota Kanai, Manuel Baltieri
Active inference proposes expected free energy as an objective for planning and decision-making to adequately balance exploitative and explorative drives in learning agents. The ex…
A "good regulator theorem" for embodied agents
Nathaniel Virgo, Martin Biehl, Manuel Baltieri +1
In a classic paper, Conant and Ashby claimed that "every good regulator of a system must be a model of that system." Artificial Life has produced many examples of systems that perf…
Active inference for action-unaware agents
Filippo Torresan, Keisuke Suzuki, Ryota Kanai +1
Active inference is a formal approach to study cognition based on the notion that adaptive agents can be seen as engaging in a process of approximate Bayesian inference, via the mi…