One of the most influential contributions of machine learning to understanding the human brain is the (fairly recent) formulation of learning in real world tasks in ...

Multi-Agent Reinforcement Learning (MARL) is an emerging subfield of artificial intelligence that investigates how multiple autonomous agents can learn collaboratively and competitively within an ...

If you walk down the street shouting out the names of every object you see — garbage truck! bicyclist! sycamore tree! — most people would not conclude you are smart. But if you go through an obstacle ...

A quadruped robot uses deep reinforcement learning to master walking on varied terrains, demonstrating energy-efficient and ...