SAGAS stitches learned reachability graphs from fragmented offline data with symbolic Buchi search to produce cost-aware plans for unseen LTL tasks executed by a frozen controller.
Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning, June 2025
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Introduces relativised options and hierarchical abstraction to reuse experience across similar contexts in offline GCRL, with two algorithms demonstrating performance gains.
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SAGAS: Semantic-Aware Graph-Assisted Stitching for Offline Temporal Logic Planning
SAGAS stitches learned reachability graphs from fragmented offline data with symbolic Buchi search to produce cost-aware plans for unseen LTL tasks executed by a frozen controller.
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Abstraction for Offline Goal-Conditioned Reinforcement Learning
Introduces relativised options and hierarchical abstraction to reuse experience across similar contexts in offline GCRL, with two algorithms demonstrating performance gains.