Reinforcement learning focuses on rewarding desired AI actions and punishing undesired ones. Common RL algorithms include State-action-reward-state-action, Q-learning, and Deep-Q networks. RL adapts ...
Researchers at the US Department of Energy's Argonne National Laboratory and the University of Chicago are embarking on an innovative project to revolutionize electric vehicle (EV) charging. With the ...
Picture this: a self-driving car smoothly navigating treacherous mountain roads with consecutive hairpin turns – a scenario ...
Reinforcement learning is one of the exciting branches of artificial intelligence. It plays an important role in game-playing AI systems, modern robots, chip-design systems, and other applications.
MILPITAS, Calif.--(BUSINESS WIRE)--Bigfoot Biomedical (Bigfoot), a leader in developing intelligent connected injection support systems, today announced the acquisition of a reinforcement learning ...
In August 2025, Shanghai Hong Yichang Industrial Co., Ltd. applied for a patent titled "Robot Decision-Making Method Based on Deep Reinforcement Learning." This move indicates that deep reinforcement ...
Tech Xplore on MSN
Next-generation humanoid robot can do the moonwalk
KAIST research team's independently developed humanoid robot boasts world-class driving performance, reaching speeds of 12km/h, along with excellent stability, maintaining balance even with its eyes ...
One of the most exciting developments is how AI is lowering barriers for retail participation in algorithmic trading. Tools ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback