SOTAVerified

Minecraft

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 236 papers

TitleStatusHype
WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents—0
Spatial Reasoning and Planning for Deep Embodied Agents—0
A LLM Benchmark based on the Minecraft Builder Dialog Agent Task—0
Interpretability in Action: Exploratory Analysis of VPT, a Minecraft Agent—0
Collaborative Quest Completion with LLM-driven Non-Player Characters in Minecraft—0
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents—0
Nebula: A discourse aware Minecraft Builder—0
Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft—0
STEVE Series: Step-by-Step Construction of Agent Systems in Minecraft—0
3D Building Generation in Minecraft via Large Language ModelsCode0
World Models with Hints of Large Language Models for Goal Achieving—0
The Embodied World Model Based on LLM with Visual Information and Prediction-Oriented Prompts—0
Crafting a Pogo Stick in Minecraft with Heuristic Search (Extended Abstract)Code0
LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence—0
Luban: Building Open-Ended Creative Agents via Autonomous Embodied Verification—0
Extracting Heuristics from Large Language Models for Reward Shaping in Reinforcement Learning—0
DreamCraft: Text-Guided Generation of Functional 3D Environments in Minecraft—0
Hierarchical Auto-Organizing System for Open-Ended Multi-Agent Navigation—0
Your device may know you better than you know yourself -- continuous authentication on novel dataset using machine learning—0
RL-GPT: Integrating Reinforcement Learning and Code-as-policy—0
Large Language Models as Minecraft Agents—0
Improving Agent Interactions in Virtual Environments with Language Models—0
Minecraft-ify: Minecraft Style Image Generation with Text-guided Image Editing for In-Game Application—0
Vision-Language Models Provide Promptable Representations for Reinforcement Learning—0
Zero-shot Imitation Policy via Search in Demonstration Dataset—0
MineObserver 2.0: A Deep Learning & In-Game Framework for Assessing Natural Language Descriptions of Minecraft Imagery—0
Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft—0
Learning adaptive planning representations with natural language guidance—0
MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active PerceptionCode0
Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games—0
Meta-Diversity Search in Complex Systems, A Recipe for Artificial Open-Endedness ?—0
See and Think: Embodied Agent in Virtual Environment—0
JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models—0
Active Reasoning in an Open-World Environment—0
Probabilistic Modeling of Human Teams to Infer False Beliefs—0
Progressively Efficient Learning—0
LLaMA Rider: Spurring Large Language Models to Explore the Open World—0
GROOT: Learning to Follow Instructions by Watching Gameplay Videos—0
Believable Minecraft Settlements by Means of Decentralised Iterative Planning—0
MindAgent: Emergent Gaming Interaction—0
Exploring Minecraft Settlement Generators with Generative Shift Analysis—0
DIP-RL: Demonstration-Inferred Preference Learning in Minecraft—0
Generating Redstone Style Cities in Minecraft—0
Learning from Visual Observation via Offline Pretrained State-to-Go Transformer—0
Solving Dialogue Grounding Embodied Task in a Simulated Environment using Further Masked Language Modeling—0
Behavioral Cloning via Search in Embedded Demonstration Dataset—0
A Domain-Independent Agent Architecture for Adaptive Operation in Evolving Open Worlds—0
Your Identity is Your Behavior -- Continuous User Authentication based on Machine Learning and Touch Dynamics—0
Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback—0
Skill Reinforcement Learning and Planning for Open-World Long-Horizon Tasks—0
Show:102550
← PrevPage 3 of 5Next →

No leaderboard results yet.