The president has been discussing plans to rip up the grass in one of the White House’s most iconic locations and put in a hard surface to serve as a patio like the one at his Florida home and club.

DeepSeek challenged this assumption by skipping SFT entirely, opting instead to rely on reinforcement learning (RL) to train the model. This bold move forced DeepSeek-R1 to develop independent ...

“We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT ...

Grass reinforcement prevents soil erosion and preserves landscapes, even in places with heavy traffic. It can be risky for pedestrians and workers on uneven or muddy ground. Lawn protection mats lower ...

Reinforcement learning is a subset of machine learning where agents learn to make decisions by interacting with their environment and receiving rewards or penalties based on their actions. Unlike ...

Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierarchical reinforcement learning. It includes the code for the ...

which is required by ModStats --Relabeled ModStatistics.dll to allow simple overwriting for ModStats updates v2.4 Features --KSP 0.24 compatibility Bugfixes --Fixed some interference with infernal ...