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FlockWorld: Toward Population-Scale Multi-Agent Video World Models through Artificial Life Simulation
TL;DR A shared video world model jointly generates agents’ egocentric views, using a controllable flocking simulation to study consistency across perspectives.
World ModelsVideo GenerationMulti-AgentArtificial Life -
GameplayQA: A Benchmarking Framework for Decision-Dense POV-Synced Multi-Video Understanding of 3D Virtual Agents
TL;DR A benchmark of 2,365 questions across nine games tests how well multimodal LLMs understand synchronized agent views. The best model scores 71.3%, compared with 80.5% for humans.
Multi-AgentVideo UnderstandingBenchmarkLLMGame AI -
GraphAllocBench: A Flexible Benchmark for Preference-Conditioned Multi-Objective Policy Learning
TL;DR A suite of 19 resource-allocation problems tests how reliably reinforcement-learning agents balance competing objectives and follow user preferences.
BenchmarkReinforcement LearningMulti-Objective OptimizationGraph Neural Networks -
Learning Realistic Lip Motions for Humanoid Face Robots
TL;DR A humanoid face robot learns realistic, multilingual lip movements from human videos. Facial retargeting and a learned self-model connect observed human motion to robot actuation.
RoboticsHuman-Robot InteractionSpeechFacial Expression -
X-Ego: Acquiring Team-Level Tactical Situational Awareness via Cross-Egocentric Contrastive Video Representation Learning
Video UnderstandingContrastive LearningGame AIMulti-Agent -
Implicit Behavioral Alignment of Language Agents in High-Stakes Crowd Simulations
TL;DR PersonaEvolve rewrites agent personas to align emergent crowd behavior with expert data, reducing divergence by 84% on average across four metrics versus unsteered agents, without model fine-tuning.
LLMCrowd SimulationMulti-AgentHuman Modeling -
Individualized Cognitive Simulation in Large Language Models: Evaluating Different Cognitive Representation Methods
LLMCognitive SimulationHuman Modeling -
A Data-Driven Discretized CS:GO Simulation Environment to Facilitate Strategic Multi-Agent Planning Research
Multi-AgentGame AISimulation -
Human-Robot Facial Co-expression
TL;DR Emo anticipates and co-expresses human smiles in real time, using facial-landmark retargeting and a learned inverse self-model to control a 26-actuator robot face.
RoboticsHuman-Robot InteractionFacial Expression -
Reconfigurable Robot Identification from Motion Data
TL;DR A reconfigurable robot infers its own body shape from joint motion alone. Encoder–decoder models trained on 200,000 configurations generalize to previously unseen morphologies.
RoboticsSelf-Modeling -
Route Optimization in Service of a Search and Rescue Artificial Social Intelligence Agent
Route OptimizationHuman-AI TeamingGraph Neural NetworksReinforcement Learning
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