5 citations · 10 across the 11 of their papers we have counts for
4 papers · 1 filter
Learning Intrinsic Symbolic Rewards in Reinforcement Learning
Hassam Sheikh, Shauharda Khadka, Santiago Miret +1
Learning effective policies for sparse objectives is a key challenge in Deep Reinforcement Learning (RL). A common approach is to design task-related dense rewards to improve task…
Automatic Feature Extraction, Categorization and Detection of Malicious Code in Android Applications
Muhammad Zuhair Qadir, Atif Nisar Jilani, Hassam Ullah Sheikh
Since Android has become a popular software platform for mobile devices recently; they offer almost the same functionality as personal computers. Malwares have also become a big co…
Preventing Value Function Collapse in Ensemble {Q}-Learning by Maximizing Representation Diversity
Hassam Ullah Sheikh, Ladislau Bölöni
The classic DQN algorithm is limited by the overestimation bias of the learned Q-function. Subsequent algorithms have proposed techniques to reduce this problem, without fully elim…
Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward
Hassam Ullah Sheikh, Ladislau Bölöni
Many cooperative multi-agent problems require agents to learn individual tasks while contributing to the collective success of the group. This is a challenging task for current sta…