WISE: A Long-Horizon Agent in Minecraft with Why-Which Reasoning

arXiv:2606.12852 · cs.AI · Submitted 2026-06-11 · Read on arXiv

cs.AI

Submitted: 2026-06-11

Updated: 2026-09-14

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Ablation — 15× in this paper · explained in 1 episode
• Cosine Similarity — 7× in this paper · explained in 3 episodes
• Causal Reasoning — 5× in this paper · explained in 2 episodes
• Clustering — 5× in this paper · explained in 2 episodes
• Embeddings — 5× in this paper · explained in 2 episodes
• Large Language Model — 5× in this paper
• Ablation Studies — 4× in this paper · explained in 1 episode
• Core — 4× in this paper · explained in 2 episodes
• Graph Construction — 4× in this paper · explained in 3 episodes
• Knowledge Graph — 4× in this paper · explained in 7 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Adaptive Planning — 3× in this paper · explained in 1 episode
• Robustness — 3× in this paper · explained in 5 episodes
• Vision-Language Model — 3× in this paper
• Which-Why Informed Semantic Explorer — 3× in this paper
• Benchmark — 2× in this paper · explained in 2 episodes
• Decoupling — 2× in this paper · explained in 2 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Large Language Model (LLM) — 2× in this paper · explained in 3 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Active Perception — 1× in this paper · explained in 2 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Agent Memory — 1× in this paper · explained in 1 episode
• Distillation — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Hierarchical Framework — 1× in this paper · explained in 2 episodes
• Information Gain — 1× in this paper · explained in 2 episodes
• Query Complexity — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Steve-1 with Place Event Memory — 1× in this paper
• Video Pre-Training — 1× in this paper
• Vision-Language Model (VLM) — 1× in this paper · explained in 3 episodes

Sources

• MineEvolve: Self-Evolution with Accumulated Knowledge for Long-Horizon Embodied Minecraft Agents
• STEVE Series: Step-by-Step Construction of Agent Systems in Minecraft
• MineDreamer: Learning to Follow Instructions via Chain-of-Imagination for Simulated-World Control
• Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory

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