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01/18/2023
Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization
Multi-objective reinforcement learning (MORL) algorithms tackle sequenti...
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06/22/2022
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer
In many real-world applications, reinforcement learning (RL) agents migh...
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03/18/2022
Improving Urban Mobility: using artificial intelligence and new technologies to connect supply and demand
As the demand for mobility in our society seems to increase, the various...
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05/20/2021
Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection
Non-stationary environments are challenging for reinforcement learning a...
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06/15/2020
Quantitatively Assessing the Benefits of Model-driven Development in Agent-based Modeling and Simulation
The agent-based modeling and simulation (ABMS) paradigm has been used to...
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04/09/2020
Quantifying the Impact of Non-Stationarity in Reinforcement Learning-Based Traffic Signal Control
In reinforcement learning (RL), dealing with non-stationarity is a chall...
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02/22/2016