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Using Semantic Similarity as Reward for Reinforcement Learning in Sentence Generation.

, , and . ACL (2), page 400-406. Association for Computational Linguistics, (2019)

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Learning a game commentary generator with grounded move expressions., , and . CIG, page 177-184. IEEE, (2015)Introduction to the bioentity recognition task at JNLPBA, , and . Proc. international joint workshop on natural language processing in biomedicine its applications, (2004)Comparison Training of Shogi Evaluation Functions with Self-Generated Training Positions and Moves., , , and . Computers and Games, volume 8427 of Lecture Notes in Computer Science, page 208-220. Springer, (2013)Refining Manually-Designed Symbol Grounding and High-Level Planning by Policy Gradients., , , and . CoRR, (2018)Connecting Text Mining and Pathways using the PathText Resource., , , , , , , , , and . LREC, European Language Resources Association, (2008)Interpretable Imitation Learning with Symbolic Rewards., , and . ACM Trans. Intell. Syst. Technol., 15 (1): 4:1-4:34 (February 2024)Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces., , and . CoRR, (2021)Soft Sensors and Process Control using AI and Dynamic Simulation., , and . CoRR, (2022)Automatic Recognition of Topic-Classified Relations between Prostate Cancer and Genes from Medline Abstracts., , , , , , and . SMBM, volume 177 of CEUR Workshop Proceedings, CEUR-WS.org, (2006)A System-Design Outline of the Distributed-Shogi-System Akara 2010., , , , , , and . SNPD, page 466-471. IEEE Computer Society, (2013)