{"total":5,"rows":[{"id":"2507.22058","title":"X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again","created":"2025-07-29","cited_by_count":112,"area":"deeprl"},{"id":"2510.04786","title":"Learning on the Job: Test-Time Curricula for Targeted Reinforcement Learning","created":"2025-10-06","cited_by_count":9,"area":"deeprl"},{"id":"2603.16929","title":"MHPO: Modulated Hazard-aware Policy Optimization for Stable Reinforcement Learning","created":"2026-03-14","cited_by_count":0,"area":"deeprl"},{"id":"2610.02140","title":"Finetuning with Sampling: SFT Learns Better Than You Think","created":"2026-10-01","cited_by_count":0,"area":"deeprl"},{"id":"2610.09679","title":"CERO: Where and When to Allocate Rollouts for RL Post-Training","created":"2026-10-07","cited_by_count":0,"area":"deeprl"}],"next_cursor":null}