Search Results for author: Navyata Sanghvi

Found 3 papers, 1 papers with code

Inverse Reinforcement Learning with Explicit Policy Estimates

no code implementations4 Mar 2021 Navyata Sanghvi, Shinnosuke Usami, Mohit Sharma, Joachim Groeger, Kris Kitani

Various methods for solving the inverse reinforcement learning (IRL) problem have been developed independently in machine learning and economics.

reinforcement-learning Reinforcement Learning (RL)

DeepBLE: Generalizing RSSI-based Localization Across Different Devices

no code implementations27 Feb 2021 Harsh Agarwal, Navyata Sanghvi, Vivek Roy, Kris Kitani

Accurate smartphone localization (< 1-meter error) for indoor navigation using only RSSI received from a set of BLE beacons remains a challenging problem, due to the inherent noise of RSSI measurements.

MGpi: A Computational Model of Multiagent Group Perception and Interaction

1 code implementation4 Mar 2019 Navyata Sanghvi, Ryo Yonetani, Kris Kitani

Toward enabling next-generation robots capable of socially intelligent interaction with humans, we present a $\mathbf{computational\; model}$ of interactions in a social environment of multiple agents and multiple groups.

Imitation Learning

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