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05/17/2023
Curriculum Learning in Job Shop Scheduling using Reinforcement Learning
Solving job shop scheduling problems (JSSPs) with a fixed strategy, such...
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01/10/2023
schlably: A Python Framework for Deep Reinforcement Learning Based Scheduling Experiments
Research on deep reinforcement learning (DRL) based production schedulin...
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12/01/2022
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments
In reinforcement learning (RL) research, simulations enable benchmarks b...
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05/14/2020
Towards NLP-supported Semantic Data Management
The heterogeneity of data poses a great challenge when data from differe...
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04/07/2020
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents
The demand for more transparency of decision-making processes of deep re...
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04/02/2020
Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations
The need for more transparency of the decision-making processes in artif...
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08/07/2019
Transferring knowledge from monitored to unmonitored areas for forecasting parking spaces
Smart cities around the world have begun monitoring parking areas in ord...
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01/24/2019
Ablation Studies in Artificial Neural Networks
Ablation studies have been widely used in the field of neuroscience to t...
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12/13/2018
