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AAAI21_Emergent_language
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haoyifan
AAAI21_Emergent_language
Commits
8b694c7a
Commit
8b694c7a
authored
Sep 10, 2020
by
Zidong Du
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Merge branch 'master' of
http://62.234.201.16/hao/AAAI21_Emergent_language
parents
db11311b
153da1e2
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AAAI2021/tex/theory.tex
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8b694c7a
...
...
@@ -83,7 +83,7 @@ Algorithm~\ref{al:learning}, we train the separate Speaker $S$ and Listener $L$
Stochastic Policy Gradient methodology in a tick-tock manner, i.e, training one
agent while keeping the other one. Roughly, when training the Speaker, the
target is set to maximize the expected reward
$
J
(
\theta
_
S,
\theta
_
L
)=
E
_{
\pi
_
S,
\pi
_
L
}
[
R
(
t,
t
^
)]
$
by adjusting the parameter
$
J
(
\theta
_
S,
\theta
_
L
)=
E
_{
\pi
_
S,
\pi
_
L
}
[
R
(
t,
\hat
{
t
}
)]
$
by adjusting the parameter
$
\theta
_
S
$
, where
$
\theta
_
S
$
is the neural network parameters of Speaker
$
S
$
with learned output probability distribution
$
\pi
_
S
$
, and
$
\theta
_
L
$
is the
neural network parameters of Listener with learned probability distribution
$
\pi
_
L
$
.
...
...
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