Chain-of-Goals Hierarchical Policy for Long-Horizon Offline Goal-Conditioned RL
Researchers introduce Chain-of-Goals Hierarchical Policy (CoGHP), a novel framework that applies chain-of-thought reasoning to offline reinforcement learning by autoregressively generating sequences of intermediate subgoals to solve long-horizon tasks. The unified architecture demonstrates consistent performance improvements over existing hierarchical baselines on navigation and manipulation benchmarks.