Abstract: Q-learning and double Q-learning are well-known sample-based, off-policy reinforcement learning algorithms. However, Q-learning suffers from overestimation bias, while double Q-learning ...

The agent shot a Venezuelan man who was resisting arrest, an official said. Protesters and law enforcement officers clashed for hours, as city officials urged people to go home. Federal agents clashed ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

1 Baltic Center for Neurotechnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, Kaliningrad, Russia 2 Research Institute for Applied Artificial Intelligence and Digital ...

When Mount Tambora, a volcano on the edge of the Indonesian archipelago, erupted in April 1815, it was the largest explosion in recorded history. In A World Without Summer: A Volcano Erupts, A ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

Genome assembly remains an unsolved problem, and de novo strategies (i.e., those run without a reference) are relevant but computationally complex tasks in genomics. Although de novo assemblers have ...

Taylor Stanberry won the 2025 Florida Python Challenge, removing 60 invasive Burmese pythons. The first-time participant earned $10,000 for her efforts during the 10-day competition. Stanberry, along ...

Upon learning Mindi was dead, Nicholas Kassotis didn't ask what happened to her or their unborn baby. He went to the car wash and bought beer. Florida sheriff rips 'reprehensible' lake brawl after 8 ...

Abstract: This paper compares the control strategies of three reinforcement learning algorithms, namely, Q-learning, SARSA, and Double Q-learning for the CartPole-V1 simulation environment using the ...

This important study uses reinforcement learning to study how turbulent odor stimuli should be processed to yield successful navigation. The authors find that there is an optimal memory length over ...