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Reka releases WorldModelGym to benchmark how effectively world models help agents select optimal actions

It measures decision-making fidelity across 100 evaluation tracks.

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Reka@RekaAILabs

World models are increasingly central to how agents learn and plan.

Today we're releasing WorldModelGym, a benchmark built around a single question: if an agent uses a world model to choose among actions, does it pick the right one?

We call this decision-based fidelity. 100+ tracks across Atari, Meta-World, DeepMind Control, and classic control. One frozen policy. Reality scores it.

Read the full post → https://reka.ai/labs/research/worldmodelgym

10:17 AM · Jul 2, 2026 · 5K Views

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Mikel Artetxe@artetxem

We are releasing a new benchmark to evaluate world models!

Reka@RekaAILabs

World models are increasingly central to how agents learn and plan.

Today we're releasing WorldModelGym, a benchmark built around a single question: if an agent uses a world model to choose among actions, does it pick the right one?

We call this decision-based fidelity. 100+ tracks across Atari, Meta-World, DeepMind Control, and classic control. One frozen policy. Reality scores it.

Read the full post → https://reka.ai/labs/research/worldmodelgym

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