MARL represents a paradigm shift in how we approach mesh refinement. Instead of relying on static rules, MARL creates an ecosystem of intelligent agents that work together to optimize the mesh. Each mesh element becomes an autonomous decision-maker, capable of learning and adapting based on both local and global information. In traditional mesh refinement techniques, the … [Read more...] about Understanding Multi-Agent Reinforcement Learning (MARL)
Adaptability
Pedal Power: Lessons in Thriving Through Change
The below is a summary of my recent story about how to thrive in a changing world. What do cycling 14,000 km across Australia and navigating exponential change have in common? More than you'd think-both demand grit, adaptability, and a clear vision. In 2011, I embarked on a journey to cycle 14,122 km around Australia in 100 days, aiming to raise 25,000 for children's cancer … [Read more...] about Pedal Power: Lessons in Thriving Through Change
