World2Minecraft turns real scenes into Minecraft worlds via occupancy prediction and releases a large indoor occupancy dataset to improve such models.
Groot: Learning to follow instructions by watching gameplay videos.arXiv preprint arXiv:2310.08235
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Dreamer 4 is the first agent to obtain diamonds in Minecraft from only offline data by reinforcement learning inside a scalable world model that accurately predicts game mechanics.
DEPS combines LLM-based interactive planning with a trainable goal selector to create a zero-shot multi-task agent that completes 70+ Minecraft tasks and nearly doubles prior performance.
citing papers explorer
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World2Minecraft: Occupancy-Driven Simulated Scenes Construction
World2Minecraft turns real scenes into Minecraft worlds via occupancy prediction and releases a large indoor occupancy dataset to improve such models.
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Training Agents Inside of Scalable World Models
Dreamer 4 is the first agent to obtain diamonds in Minecraft from only offline data by reinforcement learning inside a scalable world model that accurately predicts game mechanics.
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Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents
DEPS combines LLM-based interactive planning with a trainable goal selector to create a zero-shot multi-task agent that completes 70+ Minecraft tasks and nearly doubles prior performance.