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[AMR] Add feedback loops

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janishutz
2026-08-09 11:02:31 +02:00
parent a8b3bd7b20
commit 06df67934c
11 changed files with 16 additions and 2 deletions
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electives/amr/parts/05_planning-control/02_learning-to-act/02_reinforcement-learning.tex
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@@ -26,3 +26,6 @@ $\varepsilon$ is prob. to act randomly, $1 - \varepsilon$ is prob. to act on pol
Value-based (estimate val or $Q$-func and extract pol., e.g. Q-Learn),
Actor-Critic (estim. val or $Q$ of curr. pol., improve pol., e.g. A3C, SAC),
Policy-Gradient (diff. expect. reward w.r.t. params of policy network, e.g. REINFORCE)
\includegraphics[width=0.5\columnwidth]{assets/loop-rl.png}
\includegraphics[width=0.5\columnwidth]{assets/loop-drl.png}