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pro vyhledávání: '"Vann, Jared"'
Autor:
Garg, Deepeka, Evans, Benjamin Patrick, Ardon, Leo, Narayanan, Annapoorani Lakshmi, Vann, Jared, Madhushani, Udari, Henry-Nickie, Makada, Ganesh, Sumitra
Mortgages account for the largest portion of household debt in the United States, totaling around \$12 trillion nationwide. In times of financial hardship, alleviating mortgage burdens is essential for supporting affected households. The mortgage ser
Externí odkaz:
http://arxiv.org/abs/2402.17932
Autor:
Xiao, Yuchen, Sun, Yanchao, Xu, Mengda, Madhushani, Udari, Vann, Jared, Garg, Deepeka, Ganesh, Sumitra
Recent advancements in large language models (LLMs) have exhibited promising performance in solving sequential decision-making problems. By imitating few-shot examples provided in the prompts (i.e., in-context learning), an LLM agent can interact wit
Externí odkaz:
http://arxiv.org/abs/2310.14403
Autor:
Lowe, Adam, Amedo, Pablo, González-Díaz, Diego, Deisting, Alexander, Majumdar, Krishanu, Mavrokoridis, Konstantinos, Nessi, Marzio, Philippou, Barney, Pietropaolo, Francesco, Ravinthiran, Sudikshan, Resnati, Filippo, Roberts, Adam, Hernández, Angela Saá, Touramanis, Christos, Vann, Jared
Optical readout of large scale dual-phase liquid Argon TPCs is an attractive alternative to charge readout and has been successfully demonstrated on a 2x2m active region within the CERN protoDUNE cold box. ARIADNE+ uses four Timepix3 cameras imaging
Externí odkaz:
http://arxiv.org/abs/2301.02530
Autor:
Vadori, Nelson, Ardon, Leo, Ganesh, Sumitra, Spooner, Thomas, Amrouni, Selim, Vann, Jared, Xu, Mengda, Zheng, Zeyu, Balch, Tucker, Veloso, Manuela
We study a game between liquidity provider and liquidity taker agents interacting in an over-the-counter market, for which the typical example is foreign exchange. We show how a suitable design of parameterized families of reward functions coupled wi
Externí odkaz:
http://arxiv.org/abs/2210.07184
Agent based modelling (ABM) is a computational approach to modelling complex systems by specifying the behaviour of autonomous decision-making components or agents in the system and allowing the system dynamics to emerge from their interactions. Rece
Externí odkaz:
http://arxiv.org/abs/2210.06012
Autor:
Amrouni, Selim, Moulin, Aymeric, Vann, Jared, Vyetrenko, Svitlana, Balch, Tucker, Veloso, Manuela
Model-free Reinforcement Learning (RL) requires the ability to sample trajectories by taking actions in the original problem environment or a simulated version of it. Breakthroughs in the field of RL have been largely facilitated by the development o
Externí odkaz:
http://arxiv.org/abs/2110.14771
Publikováno v:
ACM International Conference on AI in Finance, 2021
We present a new financial framework where two families of RL-based agents representing the Liquidity Providers and Liquidity Takers learn simultaneously to satisfy their objective. Thanks to a parametrized reward formulation and the use of Deep RL,
Externí odkaz:
http://arxiv.org/abs/2110.06829
Autor:
Lowe, Adam, Majumdar, Krishanu, Mavrokoridis, Konstantinos, Philippou, Barney, Roberts, Adam, Touramanis, Christos, Vann, Jared
The ARIADNE Experiment, utilising a 1-ton dual-phase Liquid Argon Time Projection Chamber (LArTPC), aims to develop and mature optical readout technology for large scale LAr detectors. This paper describes the characterisation, using cosmic muons, of
Externí odkaz:
http://arxiv.org/abs/2011.02292
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