
PAPPO is a research prototype for Patch-Aware Proximal Policy Optimization on tool-using coding agents. This release contains the true-PPO RealRepoFix-100 reproducibility package, including the PPO implementation, RealRepoFix task files, deterministic non-PPO baseline reports, three-seed PAPPO-PPO result reports, and focused tests.
reinforcement learning, coding agents, proximal policy optimization, RealRepoFix, LoRA, software engineering agents
reinforcement learning, coding agents, proximal policy optimization, RealRepoFix, LoRA, software engineering agents
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
