Deep within the source code of this online multiplayer game lies an enigmatic number that puzzles and inspires experts to this day ...

Abstract: In this article, we introduce a method called multiplayer cascaded policy iteration (MCPI) for finding Nash equilibrium solutions to nonzero-sum (NZS) differential games. While policy ...

Note: The CUDA version requires significant GPU memory for large problems. For a 64x64 gridworld (4096 states), approximately 1GB of GPU memory is needed. If you encounter "out of memory" errors, try ...

Reinforcement learning (RL) plays a crucial role in scaling language models, enabling them to solve complex tasks such as competition-level mathematics and programming through deeper reasoning.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most difficult tasks in numerical ...

Meta plans to test out X’s algorithm for Community Notes to crowdsource fact-checks that will appear across Facebook, Instagram, and Threads. In a blog, Meta said the testing in the US would begin ...

Large language models have made remarkable strides in natural language processing, yet they still encounter difficulties when addressing complex planning and reasoning tasks. Traditional methods often ...

When the Trump-era “Remain in Mexico” policy was enacted the first time around in 2019, Tijuana became a place of waiting. Migrant shelters were at capacity as asylum seekers from around the world ...