Abstract: Multi-Agent Reinforcement Learning (MARL) has shown great potential in solving complex tasks. Despite great success, low training efficiency remains a pervasive and long-standing challenge ...

Training humanoid robots to hike could accelerate development of embodied AI for tasks like autonomous search and rescue, ecological monitoring in unexplored places and more, say University of ...

This work presents an interactive graphics computational tool for the verification of prestressed concrete beams with post-tensioned bonded tendons to the serviceability limit state (SLS) stress check ...

Details emerge about Charlie Kirk shooting suspect. Here's what we know. Judge says Trump administration is making ‘an end run around’ federal court orders in deportation case U.S. Navy raids tuna ...

We asked 8 tech executives to weigh in on whether "learn to code" is still good advice in the AI era. Okta's CEO said the idea that everyone needs to learn to code is "laughable." Others, like ...

Diffusion generative models have demonstrated remarkable success in visual domains such as image and video generation. They have also recently emerged as a promising approach in robotics, especially ...

Designing a control system to exploit model-free deep reinforcement learning algorithms to solve a real-world autonomous driving task of a small robot.

Florida officials deploy robot rabbits to control the invasive Burmese python population. Scientists from the South Florida Water Management District and the University of Florida have teamed up to ...