Recursive Value Learning for Long-Horizon Offline Goal-Conditioned RL
Across diverse goal-reaching tasks, DCRL substantially outperforms prior flat offline GCRL methods, and on the five most challenging long-horizon OGBench tasks, it improves the best prior average score from 55 to 64, surpassing all flat and hierarchical baselines.
Hyeonseong Jeon, Youngwoon Lee
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