Covid shut down the tennis tournament at Wimbledon this year, but a new model simulates showdowns between the sport’s greatest players. Stanford researchers developed Vid2Player, a system that simulates the footwork, positioning, and strokes of tennis pros like Roger Federer.
An autonomous fighter pilot shot down a human aerial ace in virtual combat. Built by defense contractor Heron Systems, the system also defeated automated rivals from seven other companies to win the AlphaDogfight trial.
An autonomous fighter pilot shot down a human aerial ace in virtual combat. Built by defense contractor Heron Systems, the system also defeated automated rivals from seven other companies to win the AlphaDogfight trial.
Deep learning is coordinating drones so they can flock together without colliding. Caltech researchers Soon-Jo Chung and Yisong Yue developed a pair of models that enables swarms of networked drones to navigate autonomously through cluttered environments.
People who take driving lessons during daytime don’t need instruction in driving at night. They recognize that the difference doesn’t disturb their knowledge of how to drive. Similarly, a new reinforcement learning method manages superficial variations in the environment without re-training.
Deep learning is coordinating drones so they can flock together without colliding. Caltech researchers Soon-Jo Chung and Yisong Yue developed a pair of models that enables swarms of networked drones to navigate autonomously through cluttered environments.
People who take driving lessons during daytime don’t need instruction in driving at night. They recognize that the difference doesn’t disturb their knowledge of how to drive. Similarly, a new reinforcement learning method manages superficial variations in the environment without re-training.
When the chips are down, humans can track critical details without being distracted by irrelevancies. New research helps reinforcement learning models similarly focus on the most important details.
When the chips are down, humans can track critical details without being distracted by irrelevancies. New research helps reinforcement learning models similarly focus on the most important details.
How do you control a video game that generates a host of unique monsters for every match? With machine learning, naturally. The otherworldly creatures in Source of Madness learn how to target players through reinforcement learning.
How do you control a video game that generates a host of unique monsters for every match? With machine learning, naturally. The otherworldly creatures in Source of Madness learn how to target players through reinforcement learning.
Reinforcement learning can beat humans at video games, but humans are better at coming up with strategies to master more complex tasks. New work enables neural networks to connect the dots.
Reinforcement learning can beat humans at video games, but humans are better at coming up with strategies to master more complex tasks. New work enables neural networks to connect the dots.
Wouldn’t it be great to see around corners? Deep learning researchers are working on it. Researchers developed deep-inverse correlography, a technique that interprets reflected light to reveal objects outside the line of sight.
Wouldn’t it be great to see around corners? Deep learning researchers are working on it. Researchers developed deep-inverse correlography, a technique that interprets reflected light to reveal objects outside the line of sight.
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