concept
active
concept:value-learning

Value Learning

Field of research integrating reward learning and optimization; shown to be unified with perceptual learning via free energy principle.

Neighborhood — ranked by edge-count

Papers (1)

paper

Frameworks (1)

framework
  • Free Energy Principle
    associated_with
    A foundational variational principle from statistical physics that formalizes how self-organizing systems maintain structural integrity and adapt to their environment by minimizing free energy—a mathematical bound on surprise or prediction error. Originally developed by Karl Friston, the framework unifies action, perception, and learning as processes of active inference, where systems both update internal models of the world and act upon it to reduce the divergence between predictions and observations.

Claims (1)

claim

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

  • Learningconcept0.850
    Inference of parameters encoding contingencies of the world (e.g., likelihood matrix A) at slower timescale than perception.
  • Learning performanceconcept0.800
    How well an RL agent learns, measured by reward curves and associated with causal emergence levels.
  • Concept Learningconcept0.792
    Acquisition of new concepts by Bayesian model expansion and reduction.
  • perceptual learning is, literally, an integral part of value learningquote0.787
    Key assertion that perceptual and value learning are inseparable.
  • valueconcept0.779
    Probability of sensory input expected by an agent, aligning value maximization with surprise minimization.
  • Preference Learningconcept0.777
    The ability of active inference agents to learn their own prior preferences over outcomes by accumulating Dirichlet parameters from experience.
  • Perceptual Learningconcept0.776
    Process of inferring causes of sensory information; unified with value learning as integral aspects of free energy minimization.
  • Associative Learningconcept0.775
    Sentience criterion; capacity occurs even in gene regulatory networks and non-neural morphogenetic agents.