ε-greedy Policy

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

• Epsilon-greedy explorationmethod0.814
  A heuristic exploration strategy that selects a random action with probability epsilon, otherwise acts greedily.
• Policyconcept0.730
  Sequence of actions considered by the agent; basis for planning.
• Greedy-decoded self-reportmethod0.714
  Baseline self-report method selecting highest-probability token; shown to collapse to few uninformative values
• Policy Selectionconcept0.703
  Choosing sequences of actions based on expected free energy; prior probability of policy is softmax of expected free energy
• Epistemic Foraging / Explorationconcept0.703
  The active sampling of observations to maximize information gain and resolve uncertainty about the environment.
• Undefined Value ϵ (Epsilon)concept0.697
  Distinguished value initially associated with every key combination in associative memory m; propagates through operations to signal missing values; enables termination of recursive delegation.
• EconomyAgentmethod0.686
  deterministic code agent that models resource economy, tracking money flows and exploiting cash-poor opponents
• "In active inference a policy is simply a sequence of choices for actions through time"quote0.682
  Definition of sequential policy in active inference, contrasting with state-action policies in RL.