Made from servo motors and tree branches, these robots were trained to successfully walk across the floor. Read the paper. (The project was undertaken by Preferred Networks of Japan, which also made this cool website called Paintschainer that colors black and white images using AI.)
Unlike supervised machine learning, which trains models based on known-correct answers, in reinforcement learning, researchers train the model by having an agent interact with an environment. When the agent’s actions produce desired results, it gets positive feedback. For example, the agent gets a reward for scoring a point or winning a game. Put simply, researchers reinforce the agent’s good behaviors.
You don’t need to be a climate scientist in order to know that the Earth is in serious trouble, but the good news is that you also don’t need to necessarily make any drastic changes to your lifestyle in order to do your part to help. This nOcean Wearable Reusable Silicone Straw will help you […]
When it comes to conquering that resolution list and hitting all of your goals in 2020, nothing is more important than getting a great night’s sleep every night so you can wake up feeling refreshed and extra productive. The CarbonIce: 7-in-1 Bacteria Protection & Cooling Pillow will help you do just that, and right now […]
It’s no secret that business leaders and project managers require a certain set of skills in order to outpace the competition and increase the overall efficiency of their company or team. The Lean Six Sigma Expert Training Bundle will take your managerial skills to the next level through training that will help you earn some […]