Q/C Technologies Appoints AI Systems Leader Chelsea Voss to Board of Directors

Q/C Technologies, Inc. (Nasdaq: QCLS) (“Q/C Technologies” or “the Company”), a pioneer of quantum-class computing at the ...

A Q&A with Amanda Askell, the lead author of Anthropic’s new ‘constitution’ for AIs

The Anthropic philosopher explains how and why her company updated its guide for shaping the conduct and character of its ...
dvm360

Q&A on teenage dogs: Brain development, behavior, training strategies, and client guidance

In this guide to the canine adolescent years, Christopher Pachel, DVM, DACVB, CABC (IAABC), breaks down this critical phase—from hormones to the prefrontal cortex—based on his 2026 VMX session in ...
GitHub

Reinforcement Learning for a Platformer Game

I built a simple 2D platformer game and then implemented a Q-learning reinforcement learning algorithm that taught an agent how to win that game. More details can be found in report Upon opening the ...
www.cs.cmu.edu

Reinforcement Learning

Before diving into the details, let’s look at a high-level overview outlining vocabulary terms we’ll see come up and contrasting different methods. It would also be useful to revisit this section ...
IEEE

Double Successive Over-Relaxation Q-Learning With an Extension to Deep Reinforcement Learning

Abstract: Q-learning (QL) is a widely used algorithm in reinforcement learning (RL), but its convergence can be slow, especially when the discount factor is close to one. Successive over-relaxation ...
Frontiers

Using reinforcement learning in genome assembly: in-depth analysis of a Q-learning assembler

Genome assembly remains an unsolved problem, and de novo strategies (i.e., those run without a reference) are relevant but computationally complex tasks in genomics. Although de novo assemblers have ...
Scientific Research Publishing

Multi-Agent Strategic Confrontation Game via Alternating Markov Decision Process Based Double Deep Q-Learning ()

To provide quantitative analysis of strategic confrontation game such as cross-border trades like tariff disputes and competitive scenarios like auction bidding, we propose an alternating Markov ...