Search Results for author: Aurghya Maiti

Found 4 papers, 0 papers with code

Offsetting Unequal Competition through RL-assisted Incentive Schemes

no code implementations5 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

Intervention Efficient Algorithm for Two-Stage Causal MDPs

no code implementations1 Nov 2021 Rahul Madhavan, Aurghya Maiti, Gaurav Sinha, Siddharth Barman

We study Markov Decision Processes (MDP) wherein states correspond to causal graphs that stochastically generate rewards.

A Causal Bandit Approach to Learning Good Atomic Interventions in Presence of Unobserved Confounders

no code implementations6 Jul 2021 Aurghya Maiti, Vineet Nair, Gaurav Sinha

First, we propose a simple regret minimization algorithm that takes as input a semi-Markovian causal graph with atomic interventions and possibly unobservable variables, and achieves $\tilde{O}(\sqrt{M/T})$ expected simple regret, where $M$ is dependent on the input CBN and could be very small compared to the number of arms.

Dis-entangling Mixture of Interventions on a Causal Bayesian Network Using Aggregate Observations

no code implementations30 Nov 2019 Gaurav Sinha, Ayush Chauhan, Aurghya Maiti, Naman Poddar, Pulkit Goel

We study the problem of separating a mixture of distributions, all of which come from interventions on a known causal bayesian network.

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