Nilay Tiwari Email & Phone Number

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Mumbai, Maharashtra, India

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United States

• Proposed novel algorithms for joint decision making among multiple agents using reinforcement learning, and analyzed the performance of the proposed algorithms.
• Considered the case where each agent aims to optimize a joint objective function of the long-term rewards of all the agents which can be non-linear or non-smooth.
• Provided convergence proofs to the optimal function without the knowledge of the transition probability.
• To the best of our knowledge no such formal proof exists in Multi-Agent Reinforcement Learning(MARL).
• Proposed a novel Algorithm for achieving Mean-Field Equilibrium(MFE) in MARL using Posterior Sampling. Showed that the limiting distribution constitute a MFE.

Kanpur Area, India

Incidence of Multicollinearity and Possible Violation of Weak Exogeneity Principle - Some Correctivemeasures and Application in a Recent Study (Research Project).Look into the reasons that led to the positive relationship between unemployment and GDPper capita growth as opposed to the desired. The possible causes we probed include MultiCollinearity among.