A Retrospective on Active Inference
Active Inference is a theory of adaptive action selection for agents proposed by Karl Friston initially and now expanded upon by many authors and forms a small academic subfield of research. The core claims of the theory are that action selection and decision-making can be usefully understood as inference problems...
Active Inference is a theory of adaptive action selection for agents proposed by Karl Friston initially and now expanded upon by many authors and forms a small academic subfield of research. The core claims of the theory are that action selection and decision-making can be usefully understood as inference problems (hence the name ‘active’ inference) and that adaptive action can be derived from first principles via the free energy principle, which essentially states that existence of an entity presupposes it performing some approximation to Bayesian inference which includes inference over ‘acti
related reading
- Active Inference and Intentional Behaviourarxiv.org
- Towards a scale-free theory of intelligent agencymindthefuture.info
- Free energy principle - Wikipediaen.wikipedia.org
- As Rocks May Think | Eric Jangevjang.com
- Just Ask for Generalization | Eric Jangevjang.com
- Active Inference and the Free Energy Principle - Tasshintasshin.com
- Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Reviewarxiv.org
- Bayesian Neural Networkscs.toronto.edu
- Reward is not the optimization target — LessWronglesswrong.com
- Evolution as Backstop for Reinforcement Learning · Gwern.netgwern.net
- pdfopenreview.net
- Scaling in the service of reasoning & model-based ML | Yoshua Bengioyoshuabengio.org