Abstract: In the field of autonomous driving, safe and efficient decision-making through deep reinforcement learning remains a significant challenge. Existing methods often struggle to adapt to the ...

Across the country, states are passing new laws aimed at improving math teaching—mandating that schools intervene early to support students who struggle, expanding access to advanced courses in later ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, and RandLA-Net— on a Flash Lidar dataset. The ...

In reinforcement learning (RL), an agent learns to achieve its goal by interacting with its environment and learning from feedback about its successes and failures. This feedback is typically encoded ...

AI Product Leader at New York Life and ex-Amazon. I bring over a decade of experience in AI product management. AI Product Leader at New York Life and ex-Amazon. I bring over a decade of experience in ...

PIZZA ($PIZZA) X Algorithm Boost: @TO Repost Call and 3 Trading Checks for Social-Driven Moves According to @TO, an X post dated Nov 21, 2025 asks users to repost to activate themselves into the ...

0267_RL_for_resource_allocation/ ├── src/ # Source code │ ├── agents/ # RL agents implementation │ │ ├── __init__.py │ │ └── agents ...

An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...

W4S operates in turns. The state contains task instructions, the current workflow program, and feedback from prior executions. An action has 2 components, an analysis of what to change, and new Python ...

Abstract: This paper introduces the Reinforcement Learning Enhanced Archimedes Optimization Algorithm (RLAOA), an improved variant of the traditional Archimedes Optimization Algorithm (AOA) that ...