Inverse Reinforcement Learning with Explicit Policy Estimates

no code implementations • 4 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 implementations • 27 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 implementation • 4 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