Serverless Reinforcement Learning | PyTorch, Images, Volumes, Scaling

BrainOmega ยท Intermediate ยท๐Ÿค– AI Agents & Automation ยท1mo ago
๐Ÿ’– Support BrainOmega โ˜• Buy Me a Coffee: https://buymeacoffee.com/brainomega ๐Ÿ’ณ Stripe: https://buy.stripe.com/aFa00i6XF7jSbfS9T218c00 ๐Ÿ’ฐ PayPal: https://paypal.me/farhadrh ๐ŸŽฅ In this video, we bring everything together with Hands-on 1: Serverless Reinforcement Learning on Modal (CartPole-v1 with PyTorch). This is the capstone exercise of the course, where we move beyond isolated features and build a real, end-to-end serverless ML training job. Using CartPole-v1 and a clean DQN implementation, youโ€™ll see how Modal can run full reinforcement learning workflowsโ€”not just toy functionsโ€”whileโ€ฆ
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