Research map / Probabilistic and scientific modeling / Variational and generative sampling
Bayesian Optimized Monte Carlo Planning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use Bayesian optimization with expected improvement to select actions for progressive widening instead of random action sampling | POMCPOW-style POMDP tree search · Partially Observable Lunar Lander | episode score: $13 \pm 5$ -> $57 \pm 2$ (100 queries) | Helped |
| Use Bayesian optimization with expected improvement to select actions for progressive widening instead of random action sampling | POMCPOW-style POMDP tree search · Wind Farm Planning | episode score: $16374\pm 212$ -> $ 18015 \pm 163$ (50 queries) | Helped |
| Use Bayesian optimization with expected improvement to select actions for progressive widening instead of random action sampling | POMCPOW-style POMDP tree search · Cyber Security | episode score: $-49 \pm 5$ -> $-23 \pm 4$ (100 queries) | Helped |
| Use Bayesian optimization with expected improvement for action selection | POMCPOW-style POMDP tree search · Partially Observable Lunar Lander | per-search wall clock runtime: $0.013 \pm 0.007$ -> $0.141 \pm 0.010$ (100 queries) | Hurt |
Closest papers by meaning
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