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Towards Realistic Market Simulations: a Generative Adversarial Networks Approach. (2021). Balch, Tucker ; Vyetrenko, Svitlana ; Bartolini, Novella ; Conti, Michele ; Prata, Matteo ; Mercanti, Emanuele ; Moulin, Aymeric ; Coletta, Andrea.
In: Papers.
RePEc:arx:papers:2110.13287.

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  1. TRADES: Generating Realistic Market Simulations with Diffusion Models. (2025). Velardi, Paola ; Prenkaj, Bardh ; Berti, Leonardo.
    In: Papers.
    RePEc:arx:papers:2502.07071.

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  2. Artificial intelligence and policy making; can small municipalities enable digital transformation?. (2024). Bashiri, Mahdi ; Koliousis, Ioannis ; Al-Surmi, Abdulrahman.
    In: International Journal of Production Economics.
    RePEc:eee:proeco:v:274:y:2024:i:c:s0925527324001816.

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  3. Conditional Generators for Limit Order Book Environments: Explainability, Challenges, and Robustness. (2023). Vyetrenko, Svitlana ; Savani, Rahul ; Jerome, Joseph ; Coletta, Andrea.
    In: Papers.
    RePEc:arx:papers:2306.12806.

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  4. Non-adversarial training of Neural SDEs with signature kernel scores. (2023). Issa, Zacharia ; Lemercier, Maud ; Salvi, Cristopher ; Horvath, Blanka.
    In: Papers.
    RePEc:arx:papers:2305.16274.

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  5. FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning. (2022). Wang, Zhaoran ; Liu, Xiao-Yang ; Zhu, Ming ; Rui, Jingyang ; Gao, Jiechao ; Guo, Jian ; Yang, Hongyang ; Xia, Ziyi.
    In: Papers.
    RePEc:arx:papers:2211.03107.

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  6. Learning to simulate realistic limit order book markets from data as a World Agent. (2022). Balch, Tucker ; Vyetrenko, Svitlana ; Moulin, Aymeric ; Coletta, Andrea.
    In: Papers.
    RePEc:arx:papers:2210.09897.

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