Nasik Muhammad Nafi

According to our database, Nasik Muhammad Nafi authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Policy Optimization using Horizon Regularized Advantage to Improve Generalization in Reinforcement Learning.

Nasik Muhammad Nafi, Raja Farrukh Ali, William H. Hsu, Kevin Duong, Mason Vick

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Policy Optimization with Augmented Value Targets for Generalization in Reinforcement Learning.

Nasik Muhammad Nafi, Giovanni Poggi-Corradini, William H. Hsu

Proceedings of the International Joint Conference on Neural Networks, 2023

Relevant Instance Segmentation in American Football Practice Images to Aid Risky Tackle Detection.

Nasik Muhammad Nafi, Ashley Rediger, Scott Dietrich, William H. Hsu

Proceedings of the International Conference on Machine Learning and Applications, 2023

Analyzing the Sensitivity to Policy-Value Decoupling in Deep Reinforcement Learning Generalization.

Nasik Muhammad Nafi, Raja Farrukh Ali, William H. Hsu

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Learning Representations and Robust Exploration for Improved Generalization in Reinforcement Learning.

Nasik Muhammad Nafi

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Multi-Horizon Learning in Procedurally-Generated Environments for Off-Policy Reinforcement Learning (Student Abstract).

Raja Farrukh Ali, Kevin Duong, Nasik Muhammad Nafi, William H. Hsu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Attention-based Partial Decoupling of Policy and Value for Generalization in Reinforcement Learning.

Nasik Muhammad Nafi, Creighton Glasscock, William H. Hsu

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

eGAN: Unsupervised Approach to Class Imbalance Using Transfer Learning.

Ademola Okerinde, William H. Hsu, Tom Theis, Nasik Muhammad Nafi, Lior Shamir

Proceedings of the Computer Analysis of Images and Patterns, 2021

2020

Addressing Class Imbalance in Image-Based Plant Disease Detection: Deep Generative vs. Sampling-Based Approaches.

Nasik Muhammad Nafi, William H. Hsu

Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

Abstractive Text Summarization of Disaster-Related Documents.

Nasik Muhammad Nafi, Avishek Bose, Sarthak Khanal, Doina Caragea, William H. Hsu

Proceedings of the 17th International Conference on Information Systems for Crisis Response and Management, 2020