IEEE

Mask-Attention A3C: Visual Explanation of Action–State Value in Deep Reinforcement Learning

Abstract: Deep reinforcement learning (DRL) can learn an agent’s optimal behavior from the experience it gains through interacting with its environment. However, since the decision-making process of ...

Ring Programming Language Expands with Major Package Contributions from Developer Youssef Saeed

Ring Team Announces Significant New Contributions by Developer Youssef Saeed Youssef’s contributions, creativity, and ...
GitHub

Learning from Videos for 3D World: Enhancing MLLMs with 3D Vision Geometry Priors

Previous research has investigated the application of Multimodal Large Language Models (MLLMs) in understanding 3D scenes by interpreting them as videos. These approaches generally depend on ...
IEEE

DemoCraft: Using In-Context Learning to Improve Code Generation in Large Language Models

Abstract: Producing executable code from natural-language directives via Large Language Models (LLMs) involves obstacles like semantic uncertainty and the requirement for task-focused context ...