Teaching Robots to Slide Objects: TQC Reinforcement Learning on FetchSlideDense-v4
you will learn how to train a Truncated Quantile Critics (TQC) agent on the FetchSlideDense-v4 environment using Stable-Baselines3 and Gymnasium Robotics.
you will learn how to train a Truncated Quantile Critics (TQC) agent on the FetchSlideDense-v4 environment using Stable-Baselines3 and Gymnasium Robotics.
Reinforcement Learning (RL) is revolutionizing autonomous driving, and one of the key challenges is autonomous parking—a complex task requiring precise control and decision-making. In this blog, we’ll explore how Soft Actor-Critic (SAC) combined with Hindsight Experience Replay (HER) can train an RL agent to master parking in the highway-env environment.
We learn to solve MuJoCo HumanoidStandup problem using PPO with the help of stable baseline.
Tutorial on Low light image enhancement usind Zero-DCE
Face Detection and Recognition with Python.
The process involved using MTCNN for face detection, InceptionResnetV1 to extract face embeddings, and an SVM classifier to identify the person based on those embedding