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Papers

Showing 125 of 236 papers

TitleStatusHype
Matrix-Game: Interactive World Foundation ModelCode5
Voyager: An Open-Ended Embodied Agent with Large Language ModelsCode5
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale KnowledgeCode4
Mastering Diverse Domains through World ModelsCode4
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online VideosCode3
MineStudio: A Streamlined Package for Minecraft AI Agent DevelopmentCode3
Parallelized Planning-Acting for Efficient LLM-based Multi-Agent SystemsCode3
Odyssey: Empowering Minecraft Agents with Open-World SkillsCode3
Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement LearningCode3
Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and MemoryCode2
VillagerAgent: A Graph-Based Multi-Agent Framework for Coordinating Complex Task Dependencies in MinecraftCode2
WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM AgentsCode2
AssistanceZero: Scalably Solving Assistance GamesCode2
Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task AgentsCode2
Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon TasksCode2
Craftium: An Extensible Framework for Creating Reinforcement Learning EnvironmentsCode2
STEVE-1: A Generative Model for Text-to-Behavior in MinecraftCode2
MineLand: Simulating Large-Scale Multi-Agent Interactions with Limited Multimodal Senses and Physical NeedsCode2
MineDreamer: Learning to Follow Instructions via Chain-of-Imagination for Simulated-World ControlCode2
Octopus: Embodied Vision-Language Programmer from Environmental FeedbackCode2
Temporally Consistent Transformers for Video GenerationCode2
IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving AgentsCode1
Large Language Model (LLM) as a System of Multiple Expert Agents: An Approach to solve the Abstraction and Reasoning Corpus (ARC) ChallengeCode1
Growing 3D Artefacts and Functional Machines with Neural Cellular AutomataCode1
Forgetful Experience Replay in Hierarchical Reinforcement Learning from DemonstrationsCode1
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