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CrafterDojo: A Suite of Foundation Models for Building Open-Ended Embodied Agents in Crafter

NeurIPS 2026 · Multi-agent systems and games › LLM agents · approach: Agentic benchmarks and orchestration · 0 citations (OpenAlex)

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Introduces CrafterDojo, a suite of Crafter foundation models (C-VPT, C-CLIP, C-Steve-1) and data generators (CrafterPlay, CrafterCaption) to serve as a lightweight Minecraft-like testbed.

Problem

Crafter is a lightweight alternative to Minecraft for embodied agent research but lacks foundation models and large-scale behavior and caption datasets needed to develop them.

Approach

Automatically generate behavior demonstrations with a Craftax-trained PPO expert and captions with a rule-based generator, then port VPT, MineCLIP, and Steve-1 recipes to Crafter, adding event-based packed hindsight relabeling and a CVAE text-to-goal prior.

Key results

Surprising findings

Limitations

Experimental setup

Datasets: CrafterPlay CrafterCaption

Benchmarks: Crafter

Metrics: Crafter Score Return Recall@1 Recall@5 Recall@10 Mean Rank success rate

Baselines: Δ-IRIS CLIP4Clip PPO-RNN C-VPT-RL Single Instruction C-Steve-1

Builds on: VPT MineCLIP Steve-1 Craftax LaCLIP

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