Abstract: This paper presents a multi-agent reinforcement learning method that effectively learns the strategy for cooperative pursuit in the pursuit-evasion game of unmanned surface vehicles (USVs) ...

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Meet NVIDIA Nitrogen, a generalist gaming agent trained on 40,000 hours of video, so you can understand how imitation learning scales.

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.

Abstract: Deep Reinforcement Learning (DRL) enable several areas of artificial intelligence, including perception recognition, expert system, recommender program and game. Also, graph neural networks ...