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Showing 151–200 of 236 papers

TitleStatusHype
Generating Instructions at Different Levels of Abstraction—0
Generating Redstone Style Cities in Minecraft—0
Generative Design in Minecraft: Chronicle Challenge—0
Generative Design in Minecraft (GDMC), Settlement Generation Competition—0
GROOT: Learning to Follow Instructions by Watching Gameplay Videos—0
Guiding Multi-agent Multi-task Reinforcement Learning by a Hierarchical Framework with Logical Reward Shaping—0
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning—0
Hierarchical Auto-Organizing System for Open-Ended Multi-Agent Navigation—0
Hierarchical Reinforcement Learning with Deep Nested Agents—0
Human-guided Collaborative Problem Solving: A Natural Language based Framework—0
Improving Agent Interactions in Virtual Environments with Language Models—0
Improving Deep Reinforcement Learning in Minecraft with Action Advice—0
Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback—0
Interactive 3D Modeling with a Generative Adversarial Network—0
Interpretability in Action: Exploratory Analysis of VPT, a Minecraft Agent—0
JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models—0
JARVIS-VLA: Post-Training Large-Scale Vision Language Models to Play Visual Games with Keyboards and Mouse—0
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning—0
Knowledge Retrieval in LLM Gaming: A Shift from Entity-Centric to Goal-Oriented Graphs—0
Large Language Models as Minecraft Agents—0
LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence—0
See and Think: Embodied Agent in Virtual Environment—0
Solving Dialogue Grounding Embodied Task in a Simulated Environment using Further Masked Language Modeling—0
Spatial AMR: Expanded Spatial Annotation in the Context of a Grounded Minecraft Corpus—0
Spatial Reasoning and Planning for Deep Embodied Agents—0
STEVE-Audio: Expanding the Goal Conditioning Modalities of Embodied Agents in Minecraft—0
STEVE Series: Step-by-Step Construction of Agent Systems in Minecraft—0
Talking about what is not there: Generating indefinite referring expressions in Minecraft—0
Task Scoping: Generating Task-Specific Abstractions for Planning in Open-Scope Models—0
The AI Settlement Generation Challenge in Minecraft: First Year Report—0
The Embodied World Model Based on LLM with Visual Information and Prediction-Oriented Prompts—0
The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain—0
The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors—0
The MineRL BASALT Competition on Learning from Human Feedback—0
Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansion—0
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition—0
Trajectory VAE for multi-modal imitation—0
Translating a Visual LEGO Manual to a Machine-Executable Plan—0
Uncertainty in Action: Confidence Elicitation in Embodied Agents—0
Unsupervised Skill-Discovery and Skill-Learning in Minecraft—0
Using Enhanced Gaussian Cross-Entropy in Imitation Learning to Digging the First Diamond in Minecraft—0
Using Features at Multiple Temporal and Spatial Resolutions to Predict Human Behavior in Real Time—0
Vision-Language Models Provide Promptable Representations for Reinforcement Learning—0
Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games—0
WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents—0
What's a Good Prediction? Challenges in evaluating an agent's knowledge—0
World Models with Hints of Large Language Models for Goal Achieving—0
Your device may know you better than you know yourself -- continuous authentication on novel dataset using machine learning—0
Your Identity is Your Behavior -- Continuous User Authentication based on Machine Learning and Touch Dynamics—0
CraftAssist Instruction Parsing: Semantic Parsing for a Minecraft Assistant—0
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