Recent advances in large language models (LLMs) have enabled human-like social simulations at unprecedented scale and fidelity, offering new opportunities for computational social science. A key ...
Abstract: This paper presents a simulation-based benchmarking analysis of three reinforcement learning (RL) algorithms—Soft Actor-Critic (SAC), Deep Q-Network (DQN), and Proximal Policy Optimization ...
Primary outcome measures Diagnostic completeness (DC), structured progress (SP), procedure time (PT) and procedure efficiency (DC/PT). Results The primary outcome measures showed no statistically ...
SimCraft is designed for academic research, industrial applications, and integration with optimization algorithms including reinforcement learning. It provides a clean, extensible API for building ...
OpenAI is paying employees more than any tech startup in recent history, according to financial data it has shown investors. The company’s stock-based compensation is about $1.5 million per employee, ...
Abstract: With the emergence of computing-intensive vehicular applications, limited on-board computing resources become insufficient to meet the computing requirement of many vehicular applications.
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