A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

Deep learning plays increasingly important role in future wireless network management and optimization. Existing training methods such as label-based supervised learning and label-free learning have ...

As an integral component of blind image deblurring, non-blind deconvolution removes image blur with a given blur kernel, which is essential but difficult due to the ill-posed nature of the inverse ...

A reward shaping deep deterministic policy gradient (RS-DDPG) and simultaneous localization and mapping (SLAM) path tracking algorithm is proposed to address the issues of low accuracy and poor ...

Artificial intelligence (AI) research has increasingly focused on enhancing the efficiency & scalability of deep learning models. These models have revolutionized natural language processing, computer ...

Without gradient-based optimization, the computational burden increases, making it nearly impossible to address problems involving deep neural networks or other large models. Currently, the most ...

The team summarizes their main contributions as follows: We show that meta-learning contains gradient descent with momentum (Heavy Ball, Polyak, 1964) and Nesterov Acceleration (Nesterov, 1983) as ...

Keywords: deep learning, representation learning, optimization, game theory, neural networks Citation: Balduzzi D (2016) Grammars for Games: A Gradient-Based, Game-Theoretic Framework for Optimization ...