Automated Stock Trading Using Approximate Q Learning
RME 3211 (Intelligent Systems and Robotics Lab)
Developed an automated stock trading system using approximate Q-learning to optimize buy, sell, and hold decisions for three Bangladeshi stocks, achieving an 11% return on investment and demonstrating the effectiveness of reinforcement learning in financial decision-making.