20 citations · 20 across the 3 of their papers we have counts for
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cs.AI2020
Relational-Grid-World: A Novel Relational Reasoning Environment and An Agent Model for Relational Information Extraction
Faruk Kucuksubasi, Elif Surer
Reinforcement learning (RL) agents are often designed specifically for a particular problem and they generally have uninterpretable working processes. Statistical methods-based age…
cs.LG2020
Using Generative Adversarial Nets on Atari Games for Feature Extraction in Deep Reinforcement Learning
Ayberk Aydın, Elif Surer
Deep Reinforcement Learning (DRL) has been successfully applied in several research domains such as robot navigation and automated video game playing. However, these methods requir…
cs.AI2020
Enhancing the Monte Carlo Tree Search Algorithm for Video Game Testing
Sinan Ariyurek, Aysu Betin-Can, Elif Surer
In this paper, we study the effects of several Monte Carlo Tree Search (MCTS) modifications for video game testing. Although MCTS modifications are highly studied in game playing,…