Google DeepMind
Google DeepMind
Multimodal model · United States ·Mar 2016

Double DQN

Multimodal Proprietary
1.5M
Parameters

About Double DQN

Double DQN is an AI model developed by Google DeepMind, in the multimodal category, released in 2016, made available as a proprietary (API-only) model with 0B params.

On this page you'll find Double DQN's full specifications. Review provider pricing and benchmark scores below, or compare Double DQN head-to-head with other multimodal models.

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Frequently asked questions

What is Double DQN?

Double DQN is an AI model developed by Google DeepMind, in the multimodal category, released in 2016. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Double DQN?

Double DQN was developed by Google DeepMind and released in 2016.

Is Double DQN open source or proprietary?

Double DQN is a proprietary model. It is accessed through an API rather than by downloading the weights.

How much does Double DQN cost?

Pricing for Double DQN depends on the provider. See the providers table on this page for the latest API rates.

How does Double DQN perform on benchmarks?

Benchmark scores for Double DQN are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

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