A failure-conditioned reinforcement learning method is presented for long-horizon software engineering agents.
Failure-conditioned learning trains coding agents from failed patches, improving Qwen3.5-4B to 52.8% Resolved@2 on SWE-bench Verified.
Failure-conditioned learning trains coding agents from failed patches, improving Qwen3.5-4B to 52.8% Resolved@2 on SWE-bench Verified.