AGENTAI:SURvEYINGTHE HORIZONS OF MULTIMODAL INTERACTIONZane Durantel**.Oiuyuan Huang#**, Naoki Wake~*Ran Gong"t,Jae SungPark', Bidipta Sarkar'f, Rohan Taori',Yusuke Noda', Demetri Terzopoulos;, Yegin Chof', Katsushilkeuchi?.Hoi Vo.LiFe-Fo'-.TianfeneGao'Stanfond University;#MicrosofResearch,Redmond Uhivesity of Catfonia Los Angles, Urniversiy f Washingon Miceosot CGamingFz0cuersz IVSJZA89SE0107ZAIX-DThe EmergingAgentAlParadigmifor.Mut-modaland Cros-RealtyAy4PhysicalWorldProductSimulatorsCloudServersWeb-searchInterface3pObjeTextObservaNonsPhilosophy of mindMLTheoryPhysicsTask-Planning andSkil-ObservationAgenLearningParadigmEnvironmentPerceptionmnivandVLM,etControllerCognitionMemory(Knowledge,Logic,Reing,and Inference)verall CognitiveSystem)Figure 1:Overview of an Agent Al system hat cam perceive and act in different domains and applications. Agent Alis emcrging as a promising avenue toward Aticial General Intcligence(AGI) Ageant Al training has demonstrated thecapacity for muli-modal undersanding in the physical world. I provides aframework for realiy-agnostic taining byieverging eneaiv A logsit mulipi independen as sourcs. L rge oundaton moes raned for gent andaction-related tasks can be applied to physical and virtual worlds when rained on cros-reality da. We present thewerviewof an Aoent Al svstem that can oerceive and act in manv different domains and applications, possiblyserving asaroute towards AGl using an agent paradigm'EqualContribution. ProjectLeadterning at Microsoft Research.Redmond
AgentAl:Surveying the Horizons of Mulimodal InteractionAPREPRINTABSTRACTi svstems wil ikely become a ubiquitous presencein our everyday lives.A promisinese svstems more interactive is to embody them as agents within phvsicalfoundationcemerging field ofAgents the broader embodied and agentic aspects of multimodal interactions. Beyond agentacting and interacting in the physical world, we envision a future where people can casily create anybodied within the virtual environmenContents5556Introduction二二MotivationBackground下738901211AgentAlIntegration2.1InfiniteAlagent....2.2.1DataPrivacyand Usage2.2.4lity and Explainabil2.2.5:Augmentation2.2.6AgentAlforEmergent Abilities,万巧巧5Agent TransformerDefinition33AgentAlLearningIMechanismReinforcenImitation Learning(LXaditional RGBOptimization in the AgentSystem;4.2.1AgentModules4.2.2Agent Infrastructure4.3
AgentAlSurveying the Horizons of MultimodalInteractionAPREPRINT88888568800088zicalInferenceAgentsents for Emotional Reasoning5.5.4olic AgentsLLMsandVLMsAgentfor GamiAPCBehaviorHuman-NPC Interaction.2asedAnalysis ofGaming1.3eneSynthesisforGamingIAgentforRoboticerstanding and GenerationguageUnderstanding and Generation,General LLMagen66.3 Instruction-folowing ILM agantExperiments and Results等等等季令Agents forCrs-modalUndersandingAgents forCross-domain Uinderstandinginteractive agent for cross-modality and cross-reality4员asand Sel-improvementforAgentAlHuman-based Interaction DatalCuisinceWord" Daset for Mli-agentGaming9.1.1Benchmark二二MetricsandJudgingEvaluation.192Audio-Vide-languge P...
