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 ...
GitHub

Traffic Light Control System

A reinforcement learning framework using Deep Q-Learning to optimize traffic signal timing at intersections. This system uses SUMO (Simulation of Urban MObility) to simulate traffic flow and a neural ...

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 ...
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

Coordinated Online Reinforcement Learning for Self-Adaptive Systems Using Factored Q-Learning

Abstract: In shared environments, the interactions between self-adaptive systems may be uncertain at design-time. This uncertainty may lead to ineffective adaptations at runtime. To address this ...
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 ...