34 citations · 63 across the 17 of their papers we have counts for
17 papers
Cooperative Multi-agent Approach for Automated Computer Game Testing
Samira Shirzadeh-hajimahmood, I. S. W. B. Prasteya, Mehdi Dastani +1
Automated testing of computer games is a challenging problem, especially when lengthy scenarios have to be tested. Automating such a scenario boils down to finding the right sequen…
Sample Efficient Reinforcement Learning by Automatically Learning to Compose Subtasks
Shuai Han, Mehdi Dastani, Shihan Wang
Improving sample efficiency is central to Reinforcement Learning (RL), especially in environments where the rewards are sparse. Some recent approaches have proposed to specify rewa…
What Do You Care About: Inferring Values from Emotions
Jieting Luo, Mehdi Dastani, Thomas Studer +1
Observers can glean information from others' emotional expressions through the act of drawing inferences from another individual's emotional expressions. It is important for social…
Providing personalized Explanations: a Conversational Approach
Jieting Luo, Thomas Studer, Mehdi Dastani
The increasing applications of AI systems require personalized explanations for their behaviors to various stakeholders since the stakeholders may have various knowledge and backgr…
Rescue Conversations from Dead-ends: Efficient Exploration for Task-oriented Dialogue Policy Optimization
Yangyang Zhao, Zhenyu Wang, Mehdi Dastani +1
Training a dialogue policy using deep reinforcement learning requires a lot of exploration of the environment. The amount of wasted invalid exploration makes their learning ineffic…
An Online Agent-Based Search Approach in Automated Computer Game Testing with Model Construction
Samira Shirzadehhajimahmood, I. S. W. B. Prasetya, Frank Dignum +1
The complexity of computer games is ever increasing. In this setup, guiding an automated test algorithm to find a solution to solve a testing task in a game's huge interaction spac…