RL compaction
A smaller reinforcement-learning lab for compaction policies, rewards, and evaluation traces.
What it is
A toy-first RL formulation for LSM-tree compaction scheduling. It treats compaction as delayed-cost decision-making under write amplification, read amplification, space amplification, stalls, and compaction debt.