Pixel to policy: DQN Encoders for within & cross-game reinforcement learning

no code implementations • 1 Aug 2023 • Ashrya Agrawal, Priyanshi Shah, Sourabh Prakash

Transfer learning can be used to take advantage of this shared structure, by learning policies that are transferable across different tasks and environments and can lead to more efficient learning as well as improved performance on a wide range of tasks.

reinforcement-learning Transfer Learning

Exploiting CNNs for Semantic Segmentation with Pascal VOC

no code implementations • 26 Apr 2023 • Sourabh Prakash, Priyanshi Shah, Ashrya Agrawal

In this paper, we present a comprehensive study on semantic segmentation with the Pascal VOC dataset.

Data Augmentation Segmentation +2

Debiasing classifiers: is reality at variance with expectation?

no code implementations • 4 Nov 2020 • Ashrya Agrawal, Florian Pfisterer, Bernd Bischl, Francois Buet-Golfouse, Srijan Sood, Jiahao Chen, Sameena Shah, Sebastian Vollmer

We present an empirical study of debiasing methods for classifiers, showing that debiasers often fail in practice to generalize out-of-sample, and can in fact make fairness worse rather than better.

Fairness