Construct · 2 fields · 4 citations

Where does policy collide?

One name. Different field. Different construct. One map.

● jingle · one word, two constructs Nearest construct by meaningreinforcementcompare the meanings
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policy2 CONSTRUCTSPublic policyLASSWELL · POLICY PROCESSRL policyBELLMAN · DECISION RULE

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2026

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Political science and public administration

A government's course of action

In political science and public administration, policy is a government's chosen course of action or inaction on a public problem, together with the process by which it is decided and carried out. Harold Lasswell's 1951 The Policy Orientation founded the study of the policy sciences, and his 1956 The Decision Process laid out the stages through which a policy is framed, adopted, applied, and appraised. The referent is a public, collective commitment made through government, evidenced by statutes, budgets, and programs, and it is distinct from a private insurance contract or a rule mapping states to actions optimised by an algorithm.[1][2]

Unit
One government course of action on a public problem, from a statute or program to a deliberate choice not to act
Recovery means
Not applicable
Measured by
Traced through statutes, regulations, budgets, and program records, and appraised by their outcomes

Reinforcement learning and control

A mapping from states to actions

In reinforcement learning and control, a policy is a rule that maps each state an agent can be in to the action it should take there. Richard Bellman's 1957 Dynamic Programming introduced the term in its principle of optimality, which characterises an optimal policy for a sequence of decisions, and Sutton and Barto's 1998 Reinforcement Learning: An Introduction made it the central object of the field, where an agent learns a policy that maximises expected cumulative reward. The referent is a decision function inside a learning or control system, judged by the return it earns, and it has nothing to do with a government's course of action or an insurance contract beyond the shared word.[3][4]

Unit
One decision rule assigning an action to each state, either deterministic or a probability distribution over actions
Recovery means
Not applicable
Measured by
Evaluated by the expected cumulative reward (the return) it earns, estimated over sampled trajectories

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Nearby collisions

regulation4 fields · 4 citationsjingle · one word, four constructsagent3 fields · 5 citationsjingle · one word, three constructsgovernance4 fields · 5 citationsjingle · one word, four constructs

References

  1. Lasswell, H. D. (1951). The policy orientation. In D. Lerner & H. D. Lasswell (Eds.), The policy sciences (pp. 3–15). Stanford University Press.
  2. Lasswell, H. D. (1956). The decision process: Seven categories of functional analysis. University of Maryland Press.
  3. Bellman, R. (1957). Dynamic programming. Princeton University Press. ISBN 9780691079516
  4. Sutton, R. S., & Barto, A. G. (1998). Reinforcement learning: An introduction. MIT Press.

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