no code implementations • 5 Jan 2022 • Paramita Koley, Aurghya Maiti, Sourangshu Bhattacharya, Niloy Ganguly
On inspecting, we realize that an overall incentive scheme for the weak team does not incentivize the weaker agents within that team to learn and improve.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 11 Feb 2021 • Paramita Koley, Avirup Saha, Sourangshu Bhattacharya, Niloy Ganguly, Abir De
The networked opinion diffusion in online social networks (OSN) is often governed by the two genres of opinions - endogenous opinions that are driven by the influence of social contacts among users, and exogenous opinions which are formed by external effects like news, feeds etc.
1 code implementation • 6 Sep 2019 • Abir De, Nastaran Okati, Paramita Koley, Niloy Ganguly, Manuel Gomez-Rodriguez
In this paper, we take a first step towards the development of machine learning models that are optimized to operate under different automation levels.
no code implementations • 3 May 2012 • Ambedkar Dukkipati, Gaurav Pandey, Debarghya Ghoshdastidar, Paramita Koley, D. M. V. Satya Sriram
In this paper, we introduce a maximum entropy classification method with feature selection for large dimensional data such as text datasets that is generative in nature.