reward as predictable stimuli

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

• aversive stimuli as surprisingconcept0.796
  Aversive stimuli are defined as surprising, linking punishment to prediction failure.
• Rewards reinforce behaviors that secure rewards.concept0.785
  Highlights circularity in RL reward hypothesis; grounds motivation for preference-based active inference.
• Reward Hypothesisconcept0.778
  The claim in RL that any goal can be expressed as maximizing the expected cumulative sum of a scalar reward signal.
• Reinforcement Learning from Human Feedbackmethod0.761
  Method for fine-tuning LMs based on human preferences; mentioned as combining RL and LMs.
• Reward Functionconcept0.751
  In RL, a scalar signal from the environment that defines the agent's goal; in active inference, reward is just another observation with associated preference.
• Reward improvementconcept0.750
  The increase in reward during training, whose dynamics align with those of causal emergence in successful agents.
• Reinforcement Learningframework0.749
  Alternative framework for agent behavior; based on reward maximization rather than free energy minimization.
• Stimulus-Elicited Intentionconcept0.745
  Zaadnoordijk and Bayne's category of intentional action; sticker-removal behavior induced by the self-prior corresponds to this