Reinforcement learning and organizational management

Artificial reinforcement learning is just one lens to evaluate organizations. However, this thought experiment taught me that ...
Que.com on MSN

Microsoft Rho-alpha robotics model: Faster, smarter robot learning

Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming ...
devdiscourse

Sophisticated AI promising but less reliable for monetary policy decisions

Researchers are exploring artificial intelligence (AI) as a potential decision-support tool for monetary policy. Yet a new academic study challenges a key assumption shaping this debate: that more ...
IEEE

Energy-Aware Collaborative AAV Target Tracking via Reinforcement Learning-Based Predictive Control with Asynchronous Policy Iteration

Abstract: Autonomous aerial vehicle (AAV) target tracking technology is an essential component for enabling diverse low-altitude activities. Due to the constraints on energy and computing resources of ...
GitHub

policy-improvement

A reinforcement learning agent trained using Q-Learning to solve OpenAI Gym’s FrozenLake environment. The project demonstrates value-based learning, policy improvement, and exploration strategies in a ...
GitHub

policy-improvement

Algorithms for Policy Evaluation, Estimation of Action Values, Policy Improvement, Policy Iteration, Truncated Policy Evaluation, Truncated Policy Iteration, Value Iteration . From Udacity's Deep ...
marktechpost

DSRL: A Latent-Space Reinforcement Learning Approach to Adapt Diffusion Policies in Real-World Robotics

Robotic control systems have made significant progress through methods that replace hand-coded instructions with data-driven learning. Instead of relying on explicit programming, modern robots learn ...
marktechpost

Off-Policy Reinforcement Learning RL with KL Divergence Yields Superior Reasoning in Large Language Models

Policy gradient methods have significantly advanced the reasoning capabilities of LLMs, particularly through RL. A key tool in stabilizing these methods is Kullback-Leibler (KL) regularization, which ...
IEEE

Online Reinforcement Learning Control Designs With Acceleration Mechanism for Unknown Multiagent Systems Through Value Iteration

Abstract: In this article, an online reinforcement learning (RL) control method through value iteration (VI) is developed to solve the optimal cooperative control problem for the unknown linear ...
Forbes

The Autonomous Advantage: Reinforcement Learning’s Role In The Next Era Of AI

The age of truly autonomous artificial intelligence, where systems proactively learn, adapt and optimize amid real-world complexities instead of simply reacting, has been a long-held aspiration. Now, ...