Publication date
December 2023
DOIAbstract
This is the dataset for paper manuscript "Deep Reinforcement Learning for Real-time Dynamic Aggregation and Scheduling of Electric Vehicles"</p
This is the dataset for paper manuscript "Deep Reinforcement Learning for Real-time Dynamic Aggregation and Scheduling of Electric Vehicles"</p
Dataset for the paper Adapting Virtual Embodiment through Reinforcement Learning
The computational burden and the time required to train a deep reinforcement learning (DRL) can be a...
This dataset supports the paper entitled "Run-time Performance and Power Optimization of a Para...
A large-scale dataset for random dynamics learning from trajectories used in paper "Conv-Transf...
This dataset supports the article entitled "Machine Learning for Run-Time Energy Optimisation i...
A dataset that consists of the reinforcement learning experiments used in my thesis. There are 5 mai...
This is the dataset used in the paper "MarMot: Metamorphic Runtime Monitoring of Autonomous Driving ...
With the aim to test autonomous driving systems, we propose a novel reinforcement learning (RL)-base...
This is the dataset for the paper entitled "Dynamic expectations: Behavioral and electrophysiologica...
This dataset contains simulation data in the following paper: Jicai Jiang et al., Joint prediction o...
This contains data used for a paper titled: Reinforcement Learning Produces Dominant Strategies for ...
This is the experimental data of the manuscript entitled "Energy-efficient multi-task manufacturing ...
Dataset containing the results shown in Fig. 6 of "Deep reinforcement learning for the olfactory sea...
This dataset supports the paper entitled “Power Neutral Performance Scaling for Energy Harvest...
The massive data generated by large-scale dynamic systems makes its optimization facing a tough chal...
Dataset for the paper Adapting Virtual Embodiment through Reinforcement Learning
The computational burden and the time required to train a deep reinforcement learning (DRL) can be a...
This dataset supports the paper entitled "Run-time Performance and Power Optimization of a Para...
A large-scale dataset for random dynamics learning from trajectories used in paper "Conv-Transf...
This dataset supports the article entitled "Machine Learning for Run-Time Energy Optimisation i...
A dataset that consists of the reinforcement learning experiments used in my thesis. There are 5 mai...
This is the dataset used in the paper "MarMot: Metamorphic Runtime Monitoring of Autonomous Driving ...
With the aim to test autonomous driving systems, we propose a novel reinforcement learning (RL)-base...
This is the dataset for the paper entitled "Dynamic expectations: Behavioral and electrophysiologica...
This dataset contains simulation data in the following paper: Jicai Jiang et al., Joint prediction o...
This contains data used for a paper titled: Reinforcement Learning Produces Dominant Strategies for ...
This is the experimental data of the manuscript entitled "Energy-efficient multi-task manufacturing ...
Dataset containing the results shown in Fig. 6 of "Deep reinforcement learning for the olfactory sea...
This dataset supports the paper entitled “Power Neutral Performance Scaling for Energy Harvest...
The massive data generated by large-scale dynamic systems makes its optimization facing a tough chal...
Dataset for the paper Adapting Virtual Embodiment through Reinforcement Learning
The computational burden and the time required to train a deep reinforcement learning (DRL) can be a...
This dataset supports the paper entitled "Run-time Performance and Power Optimization of a Para...
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