ICML 2026 to Host RLxF Workshop on Reinforcement Learning from World Feedback

As traditional Reinforcement Learning from Human Feedback (RLHF) approaches its limits, scholars from multiple universities and institutions like Google DeepMind have announced the RLxF (Reinforcement Learning from World Feedback) workshop at ICML 2026. The event aims to explore a new training path that uses the "world environment itself" as a feedback signal to break through current bottlenecks.

Guest Lineup and Agenda

According to the detailed schedule released by @shaohua0116, the workshop, scheduled for July 10, features a strong lineup. Invited guests include Benjamin Eysenbach and Chelsea Finn, with Yilun Du and Yiding Jiang joining the panel discussion. In addition, the event will host 5 oral presentations and two poster sessions, showcasing a total of 89 related papers.

2026-07-09 ~ 2026-07-11 · 5 related posts

• [source] ICML Workshop Focuses on Reinforcement Learning from World Feedback — shaohua0116 · 2026-07-09
• RLxF Workshop: Reinforcement Learning from World Feedback — shaohua0116 · 2026-07-09
• [source] Academic Conf Reveals Guests and 89 Papers — shaohua0116 · 2026-07-09
• [source] ICML 2026 RLxF Workshop Announces Lineup — shaohua0116 · 2026-07-09
• ICML 2026 to Feature RL from World Feedback — AkariAsai · 2026-07-11