LocusRL: Diagnosing LLM Reward and Policy Interventions in Competitive Games

Large language models can intervene in reinforcement learning through both reward design and action selection, yet aggregate performance offers an incomplete account of what these interventions actually do. Similar returns can conceal different learning mechanisms, while plausible rewards can induce