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05/25/2023
C-MCTS: Safe Planning with Monte Carlo Tree Search
Many real-world decision-making tasks, such as safety-critical scenarios...
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04/27/2023
Batch Quantum Reinforcement Learning
Training DRL agents is often a time-consuming process as a large number ...
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04/27/2023
An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-based Gradients
VQA have attracted a lot of attention from the quantum computing communi...
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09/14/2022
Efficient Beam Search for Initial Access Using Collaborative Filtering
Beamforming-capable antenna arrays overcome the high free-space path los...
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07/23/2022
Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous Driving
Reinforcement learning (RL) has shown to reach super human-level perform...
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05/06/2022
Incremental Data-Uploading for Full-Quantum Classification
The data representation in a machine-learning model strongly influences ...
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03/16/2022
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies
Autonomous driving has the potential to revolutionize mobility and is he...
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03/15/2022
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility
Many scenarios in mobility and traffic involve multiple different agents...
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02/10/2022
