actor-critic architectures
E1875539
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Actor-critic architectures are a class of reinforcement learning methods that combine value-based and policy-based components, where a critic evaluates actions suggested by an actor to improve decision-making over time.
All labels observed (1)
| Label | Occurrences |
|---|---|
| actor-critic architectures canonical | 1 |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.