I’m new to practical reinforcement learning and want to build agents that learn directly from environments (Atari-style, DQN, PPO, etc.).

I’m looking for hands-on resources (courses, repos, playlists) that actually train agents from pixels, not just theory.I am thinking to buy this course on udemy Advanced AI: Deep Reinforcement Learning in PyTorch (v2). Is there any better free alternative.

Anyone experienced guide me on this to go from zero → building autonomous agents?