GitHub

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) Toolbox for Robotics

This repository was made to evaluate State Representation Learning methods using Reinforcement Learning. It integrates (automatic logging, plotting, saving, loading of trained agent) various RL ...
IEEE

A Deep Reinforcement Learning Based Motion Cueing Algorithm for Vehicle Driving Simulation

Abstract: Motion cueing algorithms (MCA) are used to control the movement of motion simulation platforms (MSP) to reproduce the motion perception of a real vehicle driver as accurately as possible ...
Analytics Insight

What are the Best Python Libraries for Reinforcement Learning in 2025?

Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and decision-making systems across industries. Modern RL ...
VentureBeat

Thinking Machines' first official product is here: meet Tinker, an API for distributed LLM fine-tuning

Thinking Machines, the AI startup founded earlier this year by former OpenAI CTO Mira Murati, has launched its first product: Tinker, a Python-based API designed to make large language model (LLM) ...
GitHub

Obstacle Avoidance RL Drone

An advanced reinforcement learning (RL) project for training and evaluating a drone to autonomously navigate toward a goal while avoiding obstacles in a simulated 3D environment using PyBullet and ...
Scientific Research Publishing

A Two-Stage Framework for Stock Price Prediction: LLM-Based Forecasting with Risk-Aware PPO Adjustment ()

Accurate prediction of stock prices remains a fundamental challenge in financial markets, with substantial implications for investment strategies and decision making. Although machine learning and ...