Dense reward learning with directed state graphs for goal-conditioned hierarchical reinforcement learning
Read the original at arxiv.org→arXiv:2609.10781v1 Announce Type: new Abstract: The integration of graphs with Goal-Conditioned Hierarchical Reinforcement Learning (GCHRL) has received increasing attention, as graphs naturally encode task...
Original headline: "From Connectivity to Rewards: Dense Reward Learning with Directed State Graphs"
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- Sep 11, 04:00 UTC arXiv cs.LG lead source From Connectivity to Rewards: Dense Reward Learning with Directed State Graphs