CNBC

Venerable World Appreciation Allocation Fund Class V

There is no recent news for this security. Got a confidential news tip? We want to hear from you. Sign up for free newsletters and get more CNBC delivered to your inbox Get this delivered to your ...
CNBC

Venerable World Moderate Allocation Fund Class V

There is no recent news for this security. Got a confidential news tip? We want to hear from you. Sign up for free newsletters and get more CNBC delivered to your inbox Get this delivered to your ...
Morningstar

Mutual of America's MoA Funds Win Two 2026 LSEG Lipper Fund Awards for Best-in-Class Mixed-Asset Target Allocation Moderate Fund

NEW YORK, March 12, 2026 /PRNewswire/ -- Mutual of America Capital Management LLC is pleased to announce that it has received two 2026 LSEG Lipper Fund Awards. Part of a $26 billion mutual fund family ...
Business Insider

SAST SA T. Rowe Price Allocation Moderately Aggressive Portfolio Class 3

FT Dividend & Income Select CE 109 RE 11.04 FT Dividend & Income Select CE 109 F CA 11.04 FT Dividend & Income Select CE 109 CA 11.04 Copyright © 2026 Insider Inc ...
Business Insider

PSF PGIM Laddered Allocation S&P 500 Buffer 20 Portfolio Class III

Innovator Premium Income 40 Barrier ETF - January 4.26 Innovator Premium Income 30 Barrier ETF - January 4.75 Innovator Premium Income 15 Buffer ETF - January 4.96 ...
IEEE

Max-Min Fair Resource Allocation for Rate-Splitting Multiple Access With Graph Neural Networks

Abstract: The max-min fair (MMF) resource allocation problem in rate-splitting multiple access (RSMA) systems usually faces the issues of high computational complexity and implement difficulty in real ...
Business Wire

Mitsubishi Electric to Strengthen Global Human Resources Allocation and Development with Talent Mobility and G-OJT Systems

TOKYO--(BUSINESS WIRE)--Mitsubishi Electric Corporation (TOKYO: 6503) announced today that it will launch the Talent Mobility System to match employees with jobs in the company’s global group in order ...
IEEE

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs

Abstract: Game-theoretic resource allocation on graphs (GRAG) involves two players competing over multiple steps to control nodes of interest on a graph, a problem modeled as a multi-step Colonel ...
GitHub

Reinforcement Learning for Resource Allocation

0267_RL_for_resource_allocation/ ├── src/ # Source code │ ├── agents/ # RL agents implementation │ │ ├── __init__.py │ │ └── agents.py # PPO, SAC, TD3, Policy Gradient │ ├── envs/ # Environment ...
EurekAlert!

A graph reinforcement learning framework for real-time distributed multi-robot task allocation

Effective task allocation has become a critical challenge for multi-robot systems operating in dynamic environments like search and rescue. Traditional methods, often based on static data and ...
Scientific Research Publishing

Bryant, R.E. (1986) Graph-Based Algorithms for Boolean Function Manipulation. IEEE Transactions on Computers, 35, 677-691.

ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...