A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data. It does this by updating the calculation based on the difference ...

which improves standard Q-learning algorithm so that the proposed algorithm seeks for the optimal solution ensuring that the safety premise is satisfied. During the process of finding the solution in ...

A weekly newsletter that helps demystify artificial intelligence. Founded at the Massachusetts Institute of Technology in 1899, MIT Technology Review is a world-renowned, independent media company ...

Subsequently, the Dijkstra algorithm generates initial trajectory planning within a static current field derived from long-term averaged flow patterns. Leveraging these preliminary waypoints, a ...

Key data is currently not available. Data Disclaimer: The Nasdaq Indices and the Major Indices are delayed at least 1 minute. *Data is provided by Barchart.com. Data reflects weightings calculated ...

The harrowing Netflix documentary Fred & Rose West: A British Horror Story has brought renewed interest to the frightening serial killer case that gripped headlines in the 90s. Viewers are now ...

Welcome to the Deep Reinforcement Learning with Double Q-learning repository. This project implements the concepts from the paper on Double Q-learning, a significant advancement in the field of ...

reinforcement learning is a way of doing learning without a human in the loop, q-learning is a type of reinforcement learning, and genetic algorithms were used to modify a policy network/map ...