Reinforcement Learning Lab

 

Subject Code-ML 409P

Introduction

A Reinforcement Learning (RL) Lab provides a hands-on environment for students, researchers, and practitioners to explore and experiment with reinforcement learning algorithms. The lab allows individuals to better understand the theoretical concepts of RL and gain practical experience by implementing and testing different RL techniques in a controlled, interactive setting.The goal of an RL lab is to bridge the gap between theory and practice, providing tools, environments, and problems that illustrate the core principles of reinforcement learning, such as decision-making, reward maximization, policy optimization, and agent-environment interaction.

Objective of the Laboratory

• To introduce the foundation of Reinforcement learning foundation and Q Network algorithm) To understand with AI demonstration that intelligence requires ability to find reason.
• To understand policy optimization ,recent advanced techniques and applications of Reinforcement learning.
• To introduce the concept of deep learning and neural network.

Facilities

        Software:ANACONDA

        People

         Faculty Coordinator: Ms. Nupur

         Lab Technician: Mrs. Yashoda rani