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Showing 101–150 of 236 papers

TitleStatusHype
Predicting Human Strategies in Simulated Search and Rescue Task—0
Probabilistic Modeling of Human Teams to Infer False Beliefs—0
Program Guided Agent—0
Progressively Efficient Learning—0
Progressive Safeguards for Safe and Model-Agnostic Reinforcement Learning—0
Project Sid: Many-agent simulations toward AI civilization—0
Zero-shot Imitation Policy via Search in Demonstration Dataset—0
Accelerating Empowerment Computation with UCT Tree Search—0
Active Reasoning in an Open-World Environment—0
ADAM: An Embodied Causal Agent in Open-World Environments—0
A Deep Hierarchical Approach to Lifelong Learning in Minecraft—0
A Domain-Independent Agent Architecture for Adaptive Operation in Evolving Open Worlds—0
A LLM Benchmark based on the Minecraft Builder Dialog Agent Task—0
AMRL: Aggregated Memory For Reinforcement Learning—0
Analysis of Dialogue in Human-Human Collaboration in Minecraft—0
Approximating the full-field temperature evolution in 3D electronic systems from randomized "Minecraft" systems—0
Automated Isovist Computation for Minecraft—0
Automated Let's Play Commentary—0
Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft—0
Autonomous Learning of Object-Centric Abstractions for High-Level Planning—0
BAP v2: An Enhanced Task Framework for Instruction Following in Minecraft Dialogues—0
Behavioral Cloning via Search in Embedded Demonstration Dataset—0
Behavioral Cloning via Search in Video PreTraining Latent Space—0
Believable Minecraft Settlements by Means of Decentralised Iterative Planning—0
BugCraft: End-to-End Crash Bug Reproduction Using LLM Agents in Minecraft—0
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning—0
Changing the Environment Based on Empowerment as Intrinsic Motivation—0
BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering—0
Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning—0
Collaborative Dialogue in Minecraft—0
Collaborative Quest Completion with LLM-driven Non-Player Characters in Minecraft—0
Comparing PCG metrics with Human Evaluation in Minecraft Settlement Generation—0
Continuous Authentication Using Mouse Movements, Machine Learning, and Minecraft—0
Control of Memory, Active Perception, and Action in Minecraft—0
CraftAssist Instruction Parsing: Semantic Parsing for a Voxel-World Assistant—0
D3HRL: A Distributed Hierarchical Reinforcement Learning Approach Based on Causal Discovery and Spurious Correlation Detection—0
Deep Interpretable Models of Theory of Mind—0
Deep Reinforcement Learning from Policy-Dependent Human Feedback—0
Deep Reinforcement Learning with Model Learning and Monte Carlo Tree Search in Minecraft—0
Deriving Quests from Open World Mechanics—0
DIP-RL: Demonstration-Inferred Preference Learning in Minecraft—0
DreamCraft: Text-Guided Generation of Functional 3D Environments in Minecraft—0
Extracting Heuristics from Large Language Models for Reward Shaping in Reinforcement Learning—0
Error Analyses of Auto-Regressive Video Diffusion Models: A Unified Framework—0
Explaining Differences in Classes of Discrete Sequences—0
Explore, Exploit or Listen: Combining Human Feedback and Policy Model to Speed up Deep Reinforcement Learning in 3D Worlds—0
Exploring Minecraft Settlement Generators with Generative Shift Analysis—0
From Noisy Questions to Minecraft Texts: Annotation Challenges in Extreme Syntax Scenario—0
GameFactory: Creating New Games with Generative Interactive Videos—0
GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds—0
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