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Currently Focus Area: Reinforcement Learning

I plan to learn Reinforcement Learning from the ground up — starting with the basics like agents, environments, rewards, and exploration strategies, and progressing to advanced topics like Deep Q-Learning, Policy Gradient Methods, and Actor-Critic models.

I am combining theoretical study with practical experimentation using Python, OpenAI Gym, and TensorFlow/PyTorch environments.