TU Wien Informatics

Role

2026W

 

  • Learning Symbolic Temporal Advice for Guiding Reinforcement Learning (Extended Abstract) / Skaisgiris, P., Veronese, C., & Meli, D. (2026). Learning Symbolic Temporal Advice for Guiding Reinforcement Learning (Extended Abstract). In A. Ozaki & N. Potyka (Eds.), Proceedings of the 24th International Workshop on Non-Monotonic Reasoning (NMR 2026) co-located with the 23rd International Conference on Principles of Knowledge Representation and Reasoning (KR 2026) at the Federated Logic Conference 2026 (FLoC 2026). CEUR-WS.org. https://doi.org/10.34726/12724
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    Project: BILAI (2024–2029)