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Scalable multi-product inventory control with lead time constraints using reinforcement learning.

, , , , , , , and . Neural Comput. Appl., 34 (3): 1735-1757 (2022)

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Actor Based Simulation for Closed Loop Control of Supply Chain using Reinforcement Learning., , , , , , and . AAMAS, page 1802-1804. International Foundation for Autonomous Agents and Multiagent Systems, (2019)Learning to Minimize Cost to Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce., , , , , , and . COMAD/CODS, page 176-184. ACM, (2023)Identifying efficient curricula for reinforcement learning in complex environments with a fixed computational budget., , and . COMAD/CODS, page 81-89. ACM, (2022)Sentiment Extraction from Consumer-Generated Noisy Short Texts., , and . ICDM Workshops, page 399-406. IEEE Computer Society, (2017)Sample Efficient Training in Multi-Agent Adversarial Games with Limited Teammate Communication., and . CoRR, (2020)Reinforcement Learning of Supply Chain Control Policy Using Closed Loop Multi-agent Simulation., , , , , , and . MABS, volume 12025 of Lecture Notes in Computer Science, page 26-38. Springer, (2019)Using Contrastive Samples for Identifying and Leveraging Possible Causal Relationships in Reinforcement Learning., and . COMAD/CODS, page 108-112. ACM, (2023)Scalable multi-product inventory control with lead time constraints using reinforcement learning., , , , , , , and . Neural Comput. Appl., 34 (3): 1735-1757 (2022)TCS Research at SemEval-2018 Task 1: Learning Robust Representations using Multi-Attention Architecture., and . SemEval@NAACL-HLT, page 291-299. Association for Computational Linguistics, (2018)A Learning Approach for Discovering Cost-Efficient Integrated Sourcing and Routing Strategies in E-Commerce., , , , , and . COMAD/CODS, page 430-438. ACM, (2024)