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Showing 51–100 of 236 papers

TitleStatusHype
ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context PromptingCode1
MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative TasksCode1
MineAnyBuild: Benchmarking Spatial Planning for Open-world AI AgentsCode1
Sample Efficient Reinforcement Learning through Learning from Demonstrations in MinecraftCode1
Learning to Execute Actions or Ask Clarification QuestionsCode1
Learning Controllable 3D Level GeneratorsCode1
World-GAN: a Generative Model for Minecraft WorldsCode1
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulasCode1
Reinforcement Learning Friendly Vision-Language Model for MinecraftCode1
Align-RUDDER: Learning From Few Demonstrations by Reward RedistributionCode1
EvoCraft: A New Challenge for Open-EndednessCode1
Evolving Flying Machines in Minecraft Using Quality DiversityCode1
SPRING: Studying the Paper and Reasoning to Play GamesCode1
S-Agents: Self-organizing Agents in Open-ended EnvironmentsCode1
IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving AgentsCode1
Evaluating Agents without RewardsCode0
Enabling Rapid Shared Human-AI Mental Model Alignment via the After-Action ReviewCode0
Where is Misty? Interpreting Spatial Descriptors by Modeling Regions in SpaceCode0
Why Build an Assistant in Minecraft?Code0
ViSTa Dataset: Do vision-language models understand sequential tasks?Code0
APT: Architectural Planning and Text-to-Blueprint Construction Using Large Language Models for Open-World AgentsCode0
The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human PriorsCode0
TransDreamerV3: Implanting Transformer In DreamerV3Code0
Deep Recurrent Q-Learning vs Deep Q-Learning on a simple Partially Observable Markov Decision Process with MinecraftCode0
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped RewardsCode0
BeliefNest: A Joint Action Simulator for Embodied Agents with Theory of MindCode0
Integrating Reinforcement Learning, Action Model Learning, and Numeric Planning for Tackling Complex TasksCode0
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement LearningCode0
Regret Minimization for Partially Observable Deep Reinforcement LearningCode0
Crafting a Pogo Stick in Minecraft with Heuristic Search (Extended Abstract)Code0
RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World EnvironmentsCode0
Shape Inference and Grammar Induction for Example-based Procedural GenerationCode0
Hierarchically Composing Level Generators for the Creation of Complex StructuresCode0
Order-Aware Generative Modeling Using the 3D-Craft DatasetCode0
BAR: A Backward Reasoning based Agent for Complex Minecraft TasksCode0
MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active PerceptionCode0
NovelCraft: A Dataset for Novelty Detection and Discovery in Open WorldsCode0
MineRL: A Large-Scale Dataset of Minecraft DemonstrationsCode0
GATE: Graph-based Adaptive Tool Evolution Across Diverse TasksCode0
3D Building Generation in Minecraft via Large Language ModelsCode0
MCPDial: A Minecraft Persona-driven Dialogue DatasetCode0
Exploratory Gradient Boosting for Reinforcement Learning in Complex DomainsCode0
Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language InstructionsCode0
Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP ProblemsCode0
Error Analyses of Auto-Regressive Video Diffusion Models: A Unified Framework—0
Automated Isovist Computation for Minecraft—0
BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering—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
Changing the Environment Based on Empowerment as Intrinsic Motivation—0
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