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Showing 2130 of 236 papers

TitleStatusHype
Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task AgentsCode2
Reinforcement Learning Friendly Vision-Language Model for MinecraftCode1
Learning to Execute Actions or Ask Clarification QuestionsCode1
Towards Evaluating Generalist Agents: An Automated Benchmark in Open WorldCode1
IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving AgentsCode1
Hierarchical Deep Q-Network from Imperfect Demonstrations in MinecraftCode1
Large Language Model (LLM) as a System of Multiple Expert Agents: An Approach to solve the Abstraction and Reasoning Corpus (ARC) ChallengeCode1
Forgetful Experience Replay in Hierarchical Reinforcement Learning from DemonstrationsCode1
Growing 3D Artefacts and Functional Machines with Neural Cellular AutomataCode1
Learning Controllable 3D Level GeneratorsCode1
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