Anthropic runs 200-attempt attack campaigns. OpenAI reports single-attempt metrics. A 16-dimension comparison reveals what ...
Abstract: Reinforcement Learning (RL) seeks to develop systems capable of autonomous decision-making by learning through interaction with their environment. Central to this process are reward ...
Abstract: This study presents a method for mobile manipulators to transport heavy and large objects by utilizing environmental support, thereby extending the capability of mobile manipulators to ...
A 3D autonomous drone simulation with AI-powered flight capabilities using deep reinforcement learning. Features realistic physics, LiDAR obstacle detection, and a neural network that learns to ...
Lightweight TypeScript neural network library with back-propagation and genetic algorithms, supporting a wide range of activation functions, all without extra build or native dependencies.
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