Search Results for author: Miro Dudík

Found 3 papers, 1 papers with code

Provably Sample-Efficient RL with Side Information about Latent Dynamics

no code implementations27 May 2022 Yao Liu, Dipendra Misra, Miro Dudík, Robert E. Schapire

We study reinforcement learning (RL) in settings where observations are high-dimensional, but where an RL agent has access to abstract knowledge about the structure of the state space, as is the case, for example, when a robot is tasked to go to a specific room in a building using observations from its own camera, while having access to the floor plan.

reinforcement-learning Reinforcement Learning (RL) +1

Interactive Learning from Activity Description

1 code implementation13 Feb 2021 Khanh Nguyen, Dipendra Misra, Robert Schapire, Miro Dudík, Patrick Shafto

We present a novel interactive learning protocol that enables training request-fulfilling agents by verbally describing their activities.

General Reinforcement Learning Grounded language learning +2

Improving fairness in machine learning systems: What do industry practitioners need?

no code implementations13 Dec 2018 Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé III, Miro Dudík, Hanna Wallach

The potential for machine learning (ML) systems to amplify social inequities and unfairness is receiving increasing popular and academic attention.

BIG-bench Machine Learning Fairness

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