Search and explore: symbiotic policy synthesis in POMDPs
This paper marries two state-of-the-art controller synthesis methods for partially observable
Markov decision processes (POMDPs), a prominent model in sequential decision making
under uncertainty. A central issue is to find a POMDP controller—that solely decides based
on the observations seen so far—to achieve a total expected reward objective. As finding
optimal controllers is undecidable, we concentrate on synthesising good finite-state
controllers (FSCs). We do so by tightly integrating two modern, orthogonal methods for …
Markov decision processes (POMDPs), a prominent model in sequential decision making
under uncertainty. A central issue is to find a POMDP controller—that solely decides based
on the observations seen so far—to achieve a total expected reward objective. As finding
optimal controllers is undecidable, we concentrate on synthesising good finite-state
controllers (FSCs). We do so by tightly integrating two modern, orthogonal methods for …
[PDF][PDF] Search and Explore: Symbiotic Policy Synthesis in POMDPs
This paper marries two state-of-the-art controller synthesis methods for partially observable
Markov decision processes (POMDPs), a prominent model in sequential decision making
under uncertainty. A central issue is to find a POMDP controller—that solely decides based
on the observations seen so far—to achieve a total expected reward objective. As finding
optimal controllers is undecidable, we concentrate on synthesising good finite-state
controllers (FSCs). We do so by tightly integrating two modern, orthogonal methods for …
Markov decision processes (POMDPs), a prominent model in sequential decision making
under uncertainty. A central issue is to find a POMDP controller—that solely decides based
on the observations seen so far—to achieve a total expected reward objective. As finding
optimal controllers is undecidable, we concentrate on synthesising good finite-state
controllers (FSCs). We do so by tightly integrating two modern, orthogonal methods for …
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