Zobrazeno 1 - 10
of 1 159
pro vyhledávání: '"P. Dwarakanath"'
We present an agent-based simulator for economic systems with heterogeneous households, firms, central bank, and government agents. These agents interact to define production, consumption, and monetary flow. Each agent type has distinct objectives, s
Externí odkaz:
http://arxiv.org/abs/2408.12038
There has been a growing interest in multi-agent simulators in the domain of economic modeling. However, contemporary research often involves developing reinforcement learning (RL) based models that focus solely on a single type of agents, such as ho
Externí odkaz:
http://arxiv.org/abs/2408.10391
Autor:
R. Petrie, S. Denvil, S. Ames, G. Levavasseur, S. Fiore, C. Allen, F. Antonio, K. Berger, P.-A. Bretonnière, L. Cinquini, E. Dart, P. Dwarakanath, K. Druken, B. Evans, L. Franchistéguy, S. Gardoll, E. Gerbier, M. Greenslade, D. Hassell, A. Iwi, M. Juckes, S. Kindermann, L. Lacinski, M. Mirto, A. B. Nasser, P. Nassisi, E. Nienhouse, S. Nikonov, A. Nuzzo, C. Richards, S. Ridzwan, M. Rixen, K. Serradell, K. Snow, A. Stephens, M. Stockhause, H. Vahlenkamp, R. Wagner
Publikováno v:
Geoscientific Model Development, Vol 14, Pp 629-644 (2021)
The distribution of data contributed to the Coupled Model Intercomparison Project Phase 6 (CMIP6) is via the Earth System Grid Federation (ESGF). The ESGF is a network of internationally distributed sites that together work as a federated data archiv
Externí odkaz:
https://doaj.org/article/0cba59a6244c4df3a1dee3f52dbc4da7
We introduce a multi-agent simulator for economic systems comprised of heterogeneous Households, heterogeneous Firms, Central Bank and Government agents, that could be subjected to exogenous, stochastic shocks. The interaction between agents defines
Externí odkaz:
http://arxiv.org/abs/2402.09563
Modeling subrational agents, such as humans or economic households, is inherently challenging due to the difficulty in calibrating reinforcement learning models or collecting data that involves human subjects. Existing work highlights the ability of
Externí odkaz:
http://arxiv.org/abs/2402.08755
Is transparency always beneficial in complex systems such as traffic networks and stock markets? How is transparency defined in multi-agent systems, and what is its optimal degree at which social welfare is highest? We take an agent-based view to def
Externí odkaz:
http://arxiv.org/abs/2401.05563
Autor:
Zhu, Haibei, Vyetrenko, Svitlana, Grundl, Serafin, Byrd, David, Dwarakanath, Kshama, Balch, Tucker
We study how experience with asset price bubbles changes the trading strategies of reinforcement learning (RL) traders and ask whether the change in trading strategies helps to prevent future bubbles. We train the RL traders in a multi-agent market s
Externí odkaz:
http://arxiv.org/abs/2312.17472
We present a method to measure the the oblateness parameter q of the dark matter halos of gas rich galaxies that have extended HI disks. We have applied our model to a sample of 20 nearby galaxies that are gas rich and close to face-on, of which 6 ar
Externí odkaz:
http://arxiv.org/abs/2308.01601
Autor:
Das, Mousumi, Ianjamasimanana, Roger, McGaugh, Stacy S., Schombert, James, Dwarakanath, K. S.
We derive the oblateness parameter q of the dark matter halo of a sample of gas rich, face-on disk galaxies. We have assumed that the halos are triaxial in shape but their axes in the disk plane (a and b) are equal, so that q=c/a measures the halo fl
Externí odkaz:
http://arxiv.org/abs/2303.05104
Human decision-making in real-life deviates significantly from the optimal decisions made by fully rational agents, primarily due to computational limitations or psychological biases. While existing studies in behavioral finance have discovered vario
Externí odkaz:
http://arxiv.org/abs/2210.08569