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Agent Systems

3885 directly classified papers

Papers per year

Papers

Structure Detection for Contextual Reinforcement Learning AAAI 2026

ArchetypeTrader: Reinforcement Learning for Selecting and Refining Learnable Strategic Archetypes in Quantitative Trading AAAI 2026

Orion: Steering Personalized Web Agents via Global-Micro Profiling and Adaptive Intent Tracking AAAI 2026

Tapas Are Free! Training-Free Adaptation of Programmatic Agents via LLM-Guided Program Synthesis in Dynamic Environments AAAI 2026

Achieving Equilibrium Under Utility Heterogeneity: An Agent-Attention Framework for Multi-Agent Multi-Objective Reinforcement Learning AAAI 2026

Think, Speak, Decide: Language-Augmented Multi-Agent Reinforcement Learning for Economic Decision-Making AAAI 2026

Adaptive Theory of Mind for LLM-based Multi-Agent Coordination AAAI 2026

Towards Effective Offensive Security LLM Agents: Hyperparameter Tuning, LLM as a Judge, and a Lightweight CTF Benchmark AAAI 2026

HiveMind: Contribution-Guided Online Prompt Optimization of LLM Multi-Agent Systems AAAI 2026

EcoAgent: An Efficient Device-Cloud Collaborative Multi-Agent Framework for Mobile Automation AAAI 2026

MPAS: Breaking Sequential Constraints of Multi-Agent Communication Topologies via Individual-Epistemic Message Propagation AAAI 2026

MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents AAAI 2026

Test-Time Reinforcement Learning for GUI Grounding via Region Consistency AAAI 2026

PASS: Probabilistic Agentic Supernet Sampling for Interpretable and Adaptive Chest X-Ray Reasoning AAAI 2026

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools AAAI 2026

Model Editing as a Double-Edged Sword: Steering Agent Behavior Toward Beneficence or Harm AAAI 2026

COVR: Collaborative Optimization of VLMs and RL Agent for Visual-Based Control AAAI 2026

Behavior Regularization with Flow Latent Policy for Offline Reinforcement Learning AAAI 2026

Fault Diagnosis of Irregular Sequences by Adjoint Learning in Continuous-Time Model Space AAAI 2026

Planning in Branch-and-Bound: Model-Based Reinforcement Learning for Exact Combinatorial Optimization AAAI 2026

ARTEM: Enhancing Large Language Model Agents with Spatial-Temporal Episodic Memory AAAI 2026

TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents AAAI 2026

AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting AAAI 2026

Perceiving the Knowledge Boundary: Uncertainty-Guided Exploration and Imagination for World Models AAAI 2026

Policy Search, Retrieval, and Composition via Task Similarity in Collaborative Agentic Systems AAAI 2026