Abstract: This paper investigates distributed constrained optimization over directed networks, where multiple agents collaborate to minimize the sum of local convex cost functions subject to ...

A fundamental challenge for GUI agents is robustly grounding natural language instructions, which requires not only precise spatial alignment (locating elements accurately) but also correct semantic ...

Abstract: Interest in applying Reinforcement Learning (RL) to Autonomous Vehicles (AVs) is experiencing a rapid and substantial expansion. Proximal Policy Optimization (PPO), a well-known RL algorithm ...

If your environment requires a specialized neural network (e.g., a CNN for pixel-based inputs): Add a new Actor-Critic class in module.py. Refer to the existing classes in that file to ensure the ...

The safe and efficient collision avoidance of multiple ships is essential for maritime navigation and intelligent shipping systems. In this paper, we propose a novel COLREGs-compliant multi-ship ...