Epsilon-Decreasing Strategy
An epsilon-decreasing strategy deliberately front-loads exploration, then reduces it on a schedule so that learning gradually gives way to focused execution.
The strategy begins by spending 100% of its effort on options it has not chosen. Only later does exploration fall to 90%, then 80%, as the project starts converting what it has learned into commitment.
E1Turn uncertainty into commitment
Early in a project, the option space is poorly understood, so exploration can change what you know and what you eventually choose. The scheduled decline steadily transfers effort from searching to exploiting the strongest discoveries. Unlike a fixed Epsilon-Greedy Algorithm, the balance is not permanent: the strategy assumes that information gained early should make additional search progressively less valuable.
E1The schedule can outrun reality
The decline works only when early exploration genuinely reduces uncertainty and later conditions remain similar enough for those discoveries to stay useful. If the environment changes or the initial search misses an important region, mechanically lowering exploration can turn premature confidence into sustained commitment.
Set the decline before the deadline
For your next project, divide its timeline into stages and assign an explicit exploration share to each—for example, 100%, then 90%, then 80%. At every transition, record which discovery justifies moving effort into execution; if you cannot name one, do not reduce exploration merely because the calendar says so.
Episodes that teach this
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Are you a Baloo or a Bagheera? Explore vs Exploit Concept - FutureIQ
· explained at 9:58
5,300 views
"start with 100%... always exploring then you decrease to 90% then 80%"