train deep neural network models to play Sokoban. These models were further improved with reinforcement learning in … a Sokoban simulator, which was used to carry out model-based reinforcement learning. This work serves as a proof of … the rules of the game, and perform model-based reinforcement learning - all without direct interaction with the game …

a Quantile Deep Reinforcement Learning (Q-DRL) algorithm. The research will provide a new level of understanding the …

scheduling in line-less mobile assembly systems. The proposed multi agent deep reinforcement learning algorithm uses proximal …

framework for analyzing the performance of the debt collector. We have developed the Reinforcement Learning based Continual …