cs.MA
40 papers tagged cs.MA (ordered by heat_score)
Papers
- Analyzing Persona Effects in Generated Explanations from Multimodal LLM Agents in Urban Perception (2026)Neemias da Silva et al.0.00
- Distributed Probabilistic Bisection Search using Social Learning (2016)Athanasios Tsiligkaridis and Theodoros Tsiligkaridisβ
- Meta Cross-Modal Hashing on Long-Tailed Data (2021)Runmin Wang et al.β
- Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures (2026)Ashab Uddin et al.β
- Offline Multi-agent Reinforcement Learning via Sequential Score Decomposition (2026)Dan Qiao et al.β
- Securing Multi-Agent Systems Against Corruptions via Node Contribution Backpropagation (2026)Chengcan Wu et al.β
- Delayed Assignments in Online Non-Centroid Clustering with Stochastic Arrivals (2026)Saar Cohenβ
- Automatic Construction of Clinical Scoring Systems with LLM Agents (2026)Silas Ruhrberg Est\'evez et al.β
- TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning (2026)Hayeong Lee et al.β
- Vital Trace: Protocol-Constrained Patient-State Reasoning for Longitudinal Clinical Trajectories (2026)Zhan Qu et al.β
- Grammar of the Wave: Towards Explainable Multivariate Time Series Event Detection via Neuro-Symbolic VLM Agents (2026)Sky Chenwei Wan et al.β
- The Price Reversal Phenomenon: When Cheaper Reasoning Models Cost More (2026)Lingjiao Chen et al.β
- A Multi-Agent Feedback System for Detecting and Describing News Events in Satellite Imagery (2026)Madeline Anderson et al.β
- Chat2Workflow: A Benchmark for Generating Executable Visual Workflows with Natural Language (2026)Yi Zhong et al.β
- ProtoMedAgent: Multimodal Clinical Interpretability via Privacy-Aware Agentic Workflows (2026)Alvaro Lopez Pellicer et al.β
- Reliability and Effectiveness of Autonomous AI Agents in Supply Chain Management (2026)Carol Xuan Long et al.β
- S-Bus: Automatic Read-Set Reconstruction for Multi-Agent LLM State Coordination (2026)Sajjad Khanβ
- MARGIN: Runtime Confidence Calibration for Multi-Agent Foundation Model Coordination (2026)Joss Armstrongβ
- GENSTRAT: Toward a Science of Strategic Reasoning in Large Language Models (2026)Vartan Shadarevian et al.β
- PhotoFlow: Agentic 3D Virtual Photography Missions (2026)Jiarui Guo et al.β
- CHRONOS: Temporally-Aware Multi-Agent Coordination for Evolving Data Marketplaces (2026)Joydeep Chandraβ
- Quantum Frog: Emergent Cooperation and Difficulty Scaling in a Quantized-Time Cooperative Game (2026)Saad Mankariousβ
- QUIVER: A Formal Framework for Quantifying Perturbation Propagation and Bifurcation in Compound AI Systems (2026)Prashanti Nilayam et al.β
- MemForest: An Efficient Agent Memory System with Hierarchical Temporal Indexing (2026)Han Chen et al.β
- A Reinforcement Learning Inspired Latent Yield Based Adaptive Algorithm Switching Mechanism (2026)Jayprakash S. Nair et al.β
- AI-Driven Adaptive Adversaries and the Erosion of Cryptographic Trust in Public Key Systems (2026)Petar Radanlievβ
- Scaling up Energy-Aware Multi-Agent Reinforcement Learning for Mission-Oriented Drone Networks with Individual Reward (2026)Changling Li et al.β
- Towards Reliable Fetal Ultrasound Interpretation with Multi-Agent Collaboration (2026)Xiaotian Hu et al.β
- From Facts to Insights: A Persona-Driven Dual Memory Framework and Dataset for Role-Playing Agents (2026)Rongsheng Zhang et al.β
- Multi-Agent Systems are Mixtures of Experts: Who Becomes an Influencer? (2026)Franka Bause et al.β
- Anticipate and Learn: Unleashing Idle-Time Compute in Proactive Agents (2026)Haoyi Hu et al.β
- When Gradients Collide: Failure Modes of Multi-Objective Prompt Optimization for LLM Judges (2026)Parth Darshan et al.β
- ATOM: Instantiating Budget-Controllable Multi-Agent Collaboration via Nucleus-Electron Hierarchy (2026)Xinkui Zhao et al.β
- Sentinel: Embodied Cooperative Spatial Reasoning and Planning (2026)Xiangye Lin et al.β
- Cost of Structural Learning Under Censored Feedback: A Threshold-Bandit Approach (2026)Michael Ledford et al.β
- MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation (2026)Huawei Lin et al.β
- DynaGraph: Lightweight Multi-Model Interaction Framework via Dynamic Topological Reconfiguration (2026)Yanxing Guo et al.β
- AgentCVR: Active Multi-Agent Cross-Video Reasoning via Script-Simulated Reinforcement Learning (2026)Yilun Qiu et al.β
- Why Specialist Models Still Matter: A Heterogeneous Multi-Agent Paradigm for Medical Artificial Intelligence (2026)Yanan Wang et al.β
- Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas (2026)V\'ictor Gallegoβ