We’re releasing a new class of reinforcement learning algorithms, Proximal Policy Optimization (PPO), which perform comparably or better than state-of-the-art approaches while being much simpler to implement and tune. PPO has become the default reinforcement learning algorithm at OpenAI because of its ease of use and good performance.
We’re releasing a new class of reinforcement learning algorithms, Proximal Policy Optimization (PPO), which perform comparably or better than state-of-the-art approaches while being much simpler to implement and tune. PPO has become the default reinforcement learning algorithm at OpenAI because of its ease of use and good performance.
PPO
Given a still image of a dish filled with food, CSAIL team’s deep-learning algorithm recommends ingredients and recipes.
Imagining the consequences of your actions before you take them is a powerful tool of human cognition. When placing a glass on the edge of a table, for example, we will likely pause to consider how stable it is and whether it might fall. On the basis o…
Method for modeling neural networks’ power consumption could help make the systems portable.
I was traveling to a remote area in India couple of weeks ago. And I visited a govt hospital to see someone I know. As we all know the pathetic condition of govt hospitals in India especially in a remote area.
One of the issues is the availability of doctors and medical equipment.
The employment of doctors is based on the population of an area and finding specialists like cardiologists, nephrologist, pediatrics, etc is next to impossible.
I work as a software engineer…
We’ve created images that reliably fool neural network classifiers when viewed from varied scales and perspectives. This challenges a claim from last week that self-driving cars would be hard to trick maliciously since they capture images from multiple scales, angles, perspectives, and the like.
*This innocuous kitten photo, printed on
We’ve created images that reliably fool neural network classifiers when viewed from varied scales and perspectives. This challenges a claim from last week that self-driving cars would be hard to trick maliciously since they capture images from multiple scales, angles, perspectives, and the like.
*This innocuous kitten photo, printed on
Method for designing efficient computer chips may get miniature smart drones off the ground.
