arxivcs.LGcs.AI2026-07-20
Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States
Reinforcement learning is conventionally divided into model-based and model-free methods. In this taxonomy, model-based methods perform lookahead planning over a learned world model, whereas model-free methods learn a reactive state-action mapping. Recent work, however, has shown…