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 ...

“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 ...

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 ...

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 ...

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 ...

Through RL (reinforcement learning, or reward-driven optimization), o1 learns to hone its chain of thought and refine the strategies it uses — ultimately learning to recognize and correct its ...

Patrick discusses new "Gimbal Style" UFO video that was just released by Jeremy Corbell in his new series streaming on TUBI entitled UFO Revolution. It appears in Season 2, Episode 1. #aliens #uap ...

With the increasing demand for the dexterity of robotic operation, dexterous manipulation of multi-fingered robotic hands with reinforcement learning is an interesting subject in the field of robotics ...