BUG #41 kept forward pass in F32 for autograd, but the target-side
tensors (reward, gamma, done, next_q) were cast to BF16 via `dtype`.
The `state_action_values.sub(&target_q_values)` then hit F32-vs-BF16
mismatch on Ampere+ GPUs, causing every training step to fail silently.
Fix: `.to_dtype(state_action_values.dtype())` on the detached target.
Safe because target is detached (no autograd graph to break).
Also: H100 runner → SXM2 pool, GPU availability checker script.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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