Strategic Investment Decision Making for Value Creation in Energy Transition: A Reinforcement Learning Approach
The research creates a simulation and uses Reinforcement Learning to find optimal investment policies for energy companies moving toward net-zero emissions. The RL agent learns to balance maximizing profit, minimizing CO2 costs, and achieving competitive advantage by dynamically reallocating funds across oil & gas, renewables, and CO2 reduction sectors over 25 years.