Self-Play RL: How SWE-RL Cuts Human Data Dependencies and Multiplies Training Efficiency
SWE-RL self-play GPU workloads differ from supervised fine-tuning pipelines. Meta’s SSR (Self-play SWE-RL) (Wei et al., arXiv:2512.18552, December 2025 preprint) trains one LLM policy to inject and fix bugs in real repositories using only Docker images—no human-written issue descriptions. That shifts cluster utilization from labeling toward RL rollouts, sandboxed execution, and inference-heavy agent loops. Thesis: … Read more