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#deep-reinforcement-learning

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Berkeley CS285 Homework and Final Projects: The CPU, GPU, and H100 Boundary

Five assignments move from CPU-friendly imitation learning to H100-based LLM RL and six-hour offline-RL runs; self-learners should use three compute tiers instead of copying the entire enrolled workflow.

Berkeley CS285 Spring 2026 Guide: 25 Lectures, Five Assignments, and the Self-Study Boundary

Spring 2026 CS185/285 publishes slides for 25 lectures, nine discussion units, five assignments, and starter code; current recordings require bCourses access, while HW4 defaults to an H100, so this is not a zero-cost open course.