Reinforcement Learning
Autonomous decision-making systems that learn through interaction, including game-playing agents and industrial control optimization.
Game-Playing Agent
Developed a reinforcement learning agent that learns optimal strategies through trial and interaction, demonstrating core RL concepts including reward shaping, exploration-exploitation tradeoffs, and policy convergence.
Python
RL
Q-Learning
Policy Optimization
COMING SOON
Industrial Control Optimization
Applied reinforcement learning techniques to industrial control scenarios, optimizing process parameters for efficiency and safety in dynamic environments.
Python
RL
Control Systems
Optimization
COMING SOON