ArenaRL: Scaling RL for Open-Ended Agents via Tournament-based Relative Ranking

Proposes a reinforcement learning paradigm that replaces pointwise scalar scoring with intra-group relative ranking via tournament-based schemes to address discrimination collapse in reward models for open-ended agent tasks.