Hassam Ullah Sheikh

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 11

Top Topics

Feature Extraction

Reinforcement Learning

Top Venues

Publications

Hassam Ullah Sheikh, Shauharda Khadka, Santiago Miret, Somdeb Majumdar, Mariano Phielipp
Learning Intrinsic Symbolic Rewards in Reinforcement Learning. IJCNN (2022)
Muhammad Zuhair Qadir, Atif Nisar Jilani, Hassam Ullah Sheikh
Automatic Feature Extraction, Categorization and Detection of Malicious Code in Android Applications. CoRR (2020)
Hassam Ullah Sheikh, Ladislau Bölöni
Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward. CoRR (2020)
Hassam Ullah Sheikh, Ladislau Bölöni
Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward. IJCNN (2020)
Hassam Ullah Sheikh, Ladislau Bölöni
Reducing Overestimation Bias by Increasing Representation Dissimilarity in Ensemble Based Deep Q-Learning. CoRR (2020)
Matteo Mendula, Siavash Khodadadeh, Salih Safa Bacanli, Sharare Zehtabian, Hassam Ullah Sheikh, Ladislau Bölöni, Damla Turgut, Paolo Bellavista
Interaction and Behaviour Evaluation for Smart Homes: Data Collection and Analytics in the ScaledHome Project. MSWiM (2020)
Hassam Ullah Sheikh, Ladislau Bölöni
The Emergence of Complex Bodyguard Behavior Through Multi-Agent Reinforcement Learning. CoRR (2019)
Hassam Ullah Sheikh, Ladislau Bölöni
Universal Policies to Learn Them All. CoRR (2019)
Hassam Ullah Sheikh, Mina Razghandi, Ladislau Bölöni
Learning Distributed Cooperative Policies for Security Games via Deep Reinforcement Learning. COMPSAC (1) (2019)
Hassam Ullah Sheikh, Ladislau Bölöni
Designing a Multi-Objective Reward Function for Creating Teams of Robotic Bodyguards Using Deep Reinforcement Learning. CoRR (2019)
Hassam Ullah Sheikh, Ladislau Bölöni
Emergence of Scenario-Appropriate Collaborative Behaviors for Teams of Robotic Bodyguards. AAMAS (2019)