PAWS: Policy-driven Agentic World Simulation
cs.AI, cs.CE, cs.MA, cs.SI
Submitted: 2026-09-23
Updated: 2026-09-23
Terminology
Sources
- ABIDES: Towards High-Fidelity Market Simulation for AI Research
- FinQA: A Dataset of Numerical Reasoning over Financial Data
- QuantAgents: Towards Multi-agent Financial System via Simulated Trading
- FinGPT: Democratizing Internet-scale Data for Financial Large Language Models
- FinRED: A Dataset for Relation Extraction in Financial Domain
- TradingAgents: Multi-Agents LLM Financial Trading Framework
- SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
- VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection