14 citations · 20 across the 6 of their papers we have counts for
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cs.AI2023★ 1 cited
Deep Q-Learning versus Proximal Policy Optimization: Performance Comparison in a Material Sorting Task
Reuf Kozlica, Stefan Wegenkittl, Simon Hirländer
This paper presents a comparison between two well-known deep Reinforcement Learning (RL) algorithms: Deep Q-Learning (DQN) and Proximal Policy Optimization (PPO) in a simulated pro…
cs.AI2023
A Modular Test Bed for Reinforcement Learning Incorporation into Industrial Applications
Reuf Kozlica, Georg Schäfer, Simon Hirländer +1
This application paper explores the potential of using reinforcement learning (RL) to address the demands of Industry 4.0, including shorter time-to-market, mass customization, and…