Search Results for author: Abhishek Mukhopadhyay

Found 6 papers, 1 papers with code

Towards Precision in Appearance-based Gaze Estimation in the Wild

1 code implementation5 Feb 2023 Murthy L. R. D., Abhishek Mukhopadhyay, Shambhavi Aggarwal, Ketan Anand, Pradipta Biswas

Appearance-based gaze estimation systems have shown great progress recently, yet the performance of these techniques depend on the datasets used for training.

Gaze Estimation

Bridging the gap between Markowitz planning and deep reinforcement learning

no code implementations30 Sep 2020 Eric Benhamou, David Saltiel, Sandrine Ungari, Abhishek Mukhopadhyay

While researchers in the asset management industry have mostly focused on techniques based on financial and risk planning techniques like Markowitz efficient frontier, minimum variance, maximum diversification or equal risk parity, in parallel, another community in machine learning has started working on reinforcement learning and more particularly deep reinforcement learning to solve other decision making problems for challenging task like autonomous driving, robot learning, and on a more conceptual side games solving like Go.

Autonomous Driving Continuous Control +4

AAMDRL: Augmented Asset Management with Deep Reinforcement Learning

no code implementations30 Sep 2020 Eric Benhamou, David Saltiel, Sandrine Ungari, Abhishek Mukhopadhyay, Jamal Atif

Can an agent learn efficiently in a noisy and self adapting environment with sequential, non-stationary and non-homogeneous observations?

Management reinforcement-learning +3

Decoding CNN based Object Classifier Using Visualization

no code implementations15 Jul 2020 Abhishek Mukhopadhyay, Imon Mukherjee, Pradipta Biswas

This paper investigates how working of Convolutional Neural Network (CNN) can be explained through visualization in the context of machine perception of autonomous vehicles.

Autonomous Vehicles object-detection +1

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