Neuroevolution, which combines neural networks with ideas drawn from Darwin, is gaining momentum. Its advocates claim that they can achieve faster, better results by generating a succession of new models, each slightly different than its predecessors, rather than relying on a purpose-built model.
Neuroevolution, which combines neural networks with ideas drawn from Darwin, is gaining momentum. Its advocates claim that they can achieve faster, better results by generating a succession of new models, each slightly different than its predecessors, rather than relying on a purpose-built model.
At the BlizzCon gaming convention last weekend, players of the strategy game StarCraft II stood in line to get walloped by DeepMind’s AI. After training for the better part of a year, the bot has become one of the world’s top players.
At the BlizzCon gaming convention last weekend, players of the strategy game StarCraft II stood in line to get walloped by DeepMind’s AI. After training for the better part of a year, the bot has become one of the world’s top players.
Humans understand the world by abstraction: If you grasp the concept of grabbing a stick, then you’ll also comprehend grabbing a ball. New work explores deep learning agents’ ability to do the same thing — an important aspect of their ability to generalize.
Humans understand the world by abstraction: If you grasp the concept of grabbing a stick, then you’ll also comprehend grabbing a ball. New work explores deep learning agents’ ability to do the same thing — an important aspect of their ability to generalize.
OpenAI trained a five-fingered robotic hand to unscramble the Rubik’s Cube puzzle, bringing both acclaim and criticism. The AI research lab OpenAI trained a mechanical hand to balance, twist, and turn the cube.
OpenAI trained a five-fingered robotic hand to unscramble the Rubik’s Cube puzzle, bringing both acclaim and criticism. The AI research lab OpenAI trained a mechanical hand to balance, twist, and turn the cube.
Every home is different. That makes it difficult for domestic robots to translate skills learned in one household into another. Training in virtual reality, where the robot has access to rich information about three-dimensional objects, can make it easier to generalize skills to the real world.
Every home is different. That makes it difficult for domestic robots to translate skills learned in one household into another. Training in virtual reality, where the robot has access to rich information about three-dimensional objects, can make it easier to generalize skills to the real world.
Independent research lab OpenAI designed virtual agents to play hide-and-seek. They evolved increasingly clever strategies, eventually hacking the game world’s physics to gain advantage.
Independent research lab OpenAI designed virtual agents to play hide-and-seek. They evolved increasingly clever strategies, eventually hacking the game world’s physics to gain advantage.
How to build robots that respond to novel situations? When prior experience is limited, enabling a model to describe its uncertainty can enable it to explore more avenues to success.
How to build robots that respond to novel situations? When prior experience is limited, enabling a model to describe its uncertainty can enable it to explore more avenues to success.
Deep reinforcement learning has given machines apparent hegemony in vintage Atari games, but their scores have been hard to compare — with one another or with human performance — because there are no rules governing what machines can and can’t do to win. Researchers aim to change that.
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