Regardless of the cognitive and environmental concerns arising from humanity’s increasing use of AI which resulted recently in Pope Leo XIV ...

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, has announced its research into the Synergic Quantum ...

Abstract: Gradient-based method has been extensively used in today's multiagent reinforcement learning (MARL). In a gradient-based MARL algorithm, each agent updates its parameterized strategy in the ...

GBRL is a Python-based Gradient Boosting Trees (GBT) library, similar to popular packages such as XGBoost, CatBoost, but specifically designed and optimized for reinforcement learning (RL). GBRL is ...

A C++ implementation of the TD3 (Twin Delayed Deep Deterministic Policy Gradient) algorithm with both simple Eigen-based and full PyTorch versions. The project provides a complete, production-ready ...

Abstract: We revisit the Reinforce policy gradient algorithm that works with full cost returns obtained over random length episodes. We propose a new Reinforce type algorithm that estimates the policy ...

The inability to accurately assess risk for insurance purposes is costing the industry a lot of money. Earlier this year, State Farm reported that its property and casualty underwriting business took ...

Aiming at the poor robustness and adaptability of traditional control methods for different situations, the deep deterministic policy gradient (DDPG) algorithm is improved by designing a hybrid ...

Why do so many marketers keep asking, “How do social media algorithms work?” Because the algorithms for the major platforms can change quickly. But, marketers should also keep asking, “Which social ...

Though we’re living through a time of extraordinary innovation in GPU-accelerated machine learning, the latest research papers frequently (and prominently) feature algorithms that are decades, in ...