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Showing 76–100 of 236 papers

TitleStatusHype
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning—0
Deriving Quests from Open World Mechanics—0
BugCraft: End-to-End Crash Bug Reproduction Using LLM Agents in Minecraft—0
A Deep Hierarchical Approach to Lifelong Learning in Minecraft—0
Deep Reinforcement Learning with Model Learning and Monte Carlo Tree Search in Minecraft—0
Deep Reinforcement Learning from Policy-Dependent Human Feedback—0
Believable Minecraft Settlements by Means of Decentralised Iterative Planning—0
Accelerating Empowerment Computation with UCT Tree Search—0
JARVIS-VLA: Post-Training Large-Scale Vision Language Models to Play Visual Games with Keyboards and Mouse—0
Deep Interpretable Models of Theory of Mind—0
Learning to execute or ask clarification questions—0
LLaMA Rider: Spurring Large Language Models to Explore the Open World—0
Luban: Building Open-Ended Creative Agents via Autonomous Embodied Verification—0
Interpretability in Action: Exploratory Analysis of VPT, a Minecraft Agent—0
D3HRL: A Distributed Hierarchical Reinforcement Learning Approach Based on Causal Discovery and Spurious Correlation Detection—0
Interactive 3D Modeling with a Generative Adversarial Network—0
Behavioral Cloning via Search in Video PreTraining Latent Space—0
CraftAssist Instruction Parsing: Semantic Parsing for a Minecraft Assistant—0
JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models—0
Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback—0
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning—0
Approximating the full-field temperature evolution in 3D electronic systems from randomized "Minecraft" systems—0
Knowledge Retrieval in LLM Gaming: A Shift from Entity-Centric to Goal-Oriented Graphs—0
Improving Deep Reinforcement Learning in Minecraft with Action Advice—0
Improving Agent Interactions in Virtual Environments with Language Models—0
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