<A HREF="https://humphryscomputing.com/search.php?q=max+happ"><B>max happ</B></A>
"maximize happiness",
"Maximize Unhappiness" or 
"Maximize Collective Happiness".

<H1> <A NAME="12.1"> 12.1 Maximize Collective Happiness </A> </H1>
Consider how Maximize Collective Happiness deals with this:
But Maximize Collective Happiness chooses action (2).
as Maximize Collective Happiness here.
Note that maximizing the sum of happiness 
is exactly equivalent under the Maximize Collective Happiness method to all agents receiving 10 each.

than either Maximize the Best Happiness or a Collective method.
start with the action that satisfies Maximize Collective Happiness
Start with the action that satisfies Maximize Collective Happiness

<LI> <B>Maximize the Best Happiness </B>
<LI> <B>Maximize Collective Happiness </B>
Similarly, Maximize Collective Happiness with full space is just Q with full space.
<LI> Hierarchical Q-learning, Maximize the Best Happiness (W=Q),
 Maximize Collective Happiness 

The action selection method is similar to Maximize Collective Happiness.
The action selection is similar to Maximize Collective Happiness.
implements a form of Maximize the Best Happiness,
while his <i>free-flow hierarchy</i> implements a form of Maximize Collective Happiness.
Their <i>nearest neighbor</i> strategy is effectively Maximize the Best Happiness (W=Q).
Their <i>greatest mass</i> strategy is Maximize Collective Happiness.
implement exactly the Maximize Collective Happiness strategy.
<H2> <A NAME="15.5.2"> 15.5.2 Product Maximize Collective Happiness </A> </H2>
It is a Maximize Collective Happiness strategy,
Using a naive product method of Maximize Collective Happiness,
Note that the summation method of Maximize Collective Happiness
	is equivalent to Maximize Collective Happiness
	is equivalent to Maximize the Best Happiness
Maximize Collective Happiness,
we have noted the recurring popularity of Maximize Collective Happiness schemes.

If there are enough other agents, Maximize Collective Happiness will take action (2)
Maximize Collective Happiness, following those optimistic contradictory Q-values,

	Maximize Collective Happiness performed not much different from W=Q
 <LI> The <i>product</i> method of Maximize Collective Happiness 
 <LI> The <i>standard deviation</i> method of Maximize Collective Happiness 
Maximize the Best Happiness and

<TITLE> 9 W=Q (Maximize the Best Happiness) </TITLE>
<META NAME="description" CONTENT="9 W=Q (Maximize the Best Happiness)">
 <H1> 9 W=Q (Maximize the Best Happiness) </H1>
Maximize the Best Happiness 
while Maximize the Best Happiness does not consult.
An agent in Maximize the Best Happiness only ever considers its best action.

Many methods below make no sense, such as maximizing unhappiness.
This method seems also to inhabit that desirable middle ground between Maximize the Best Happiness and the Collective methods.
It somewhat answers the criticism of Maximize the Best Happiness,

<LI> <b> <A NAME="tex2html154" HREF="ch9.html">9 W=Q (Maximize the Best Happiness)</A> </b>
<LI> <A NAME="tex2html163" HREF="ch12.html#12.1">12.1 Maximize Collective Happiness</A>
<LI> <A NAME="tex2html206" HREF="ch15.html#15.5.2">15.5.2 Product Maximize Collective Happiness</A>

<B>Maximize the Best Happiness:
<B>Maximize Collective Happiness:

<B>Maximize the Best Happiness</B>:
<B>Maximize Collective Happiness
 similar to Maximize Collective Happiness.
<B>Product Maximize Collective Happiness</B>