1. Conducted research in reinforcement learning with a focus on Markov Decision Processes.2. Designed and implemented MDP algorithms using Python, including policy iteration, value iteration, and Q-learning, to improve decision-making efficiency.3. Utilized data analysis tools and libraries (e.g., Numpy, Pandas, Matplotlib) to analyze experimental data,identify trends, and generate insights.4. Collaborated with a team to analyze and interpret experimental results, contributing to researchpublications or presentations.5. Applied statistical and computational methods to enhance the accuracy and efficiency of reinforcementlearning models.