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Showing 51–100 of 236 papers

TitleStatusHype
Playing Minecraft with Behavioural CloningCode1
Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon PredictionCode1
Playing NetHack with LLMs: Potential & Limitations as Zero-Shot AgentsCode1
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World ModellingCode1
Sample Efficient Reinforcement Learning through Learning from Demonstrations in MinecraftCode1
Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in MinecraftCode1
Forgetful Experience Replay in Hierarchical Reinforcement Learning from DemonstrationsCode1
Multi-task curriculum learning in a complex, visual, hard-exploration domain: MinecraftCode1
MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative TasksCode1
Towards Evaluating Generalist Agents: An Automated Benchmark in Open WorldCode1
EvoCraft: A New Challenge for Open-EndednessCode1
Evolving Flying Machines in Minecraft Using Quality DiversityCode1
MineAnyBuild: Benchmarking Spatial Planning for Open-world AI AgentsCode1
Align-RUDDER: Learning From Few Demonstrations by Reward RedistributionCode1
Scaling Imitation Learning in MinecraftCode1
Error Analyses of Auto-Regressive Video Diffusion Models: A Unified Framework—0
Automated Isovist Computation for Minecraft—0
Long-Context State-Space Video World Models—0
BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering—0
Changing the Environment Based on Empowerment as Intrinsic Motivation—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
A Domain-Independent Agent Architecture for Adaptive Operation in Evolving Open Worlds—0
LTLCrit: A Temporal Logic-based LLM Critic for Safe and Efficient Embodied Agents—0
DIP-RL: Demonstration-Inferred Preference Learning in Minecraft—0
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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