Communications of the ACM

Shields for Safe Reinforcement Learning

Evaluating the advantages and potential drawbacks of shielding as a method for safe RL. Bettina Könighofer is an assistant ...
GitHub

AliceeWonderland/Improving-Proximal-Policy-Optimization-for-Goal-reaching-Simulation-in-Unity-with-ML-Agents

This project presents a comprehensive overview of building a simulation environment in Unity and applying the Proximal Policy Optimization (PPO) algorithm from Unity’s built-in ML-Agents toolkit. We ...
C&EN

Multiobjective Optimization of CO

Department of Chemical Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 32610 Perak, Malaysia ...
Seeking Alpha

ROBO: Strong Pick In Robotic Automation, But Consider It Alongside These AI-Focused ETFs

The Robo Global Robotics and Automation Index ETF is rated a Buy for its global diversification, long track record, and exposure to robotics innovation. ROBO offers a unique mix of mid- and small-cap ...
IEEE

Simulation-Based Benchmarking of RL Algorithms for Adaptive Thermal Control in IoT-Enabled Smart Umbrella Systems

Abstract: This paper presents a simulation-based benchmarking analysis of three reinforcement learning (RL) algorithms—Soft Actor-Critic (SAC), Deep Q-Network (DQN), and Proximal Policy Optimization ...
GitHub

Claude PPO - Universal Reinforcement Learning Framework

A modular, cross-platform Proximal Policy Optimization (PPO) implementation that can be integrated into JavaScript SPAs, Node.js apps, Unity 3D games, Python applications, and more. The system uses a ...