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07/26/2023
Reinforcement Learning by Guided Safe Exploration
Safety is critical to broadening the application of reinforcement learni...
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05/13/2023
More for Less: Safe Policy Improvement With Stronger Performance Guarantees
In an offline reinforcement learning setting, the safe policy improvemen...
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03/14/2023
Act-Then-Measure: Reinforcement Learning for Partially Observable Environments with Active Measuring
We study Markov decision processes (MDPs), where agents have direct cont...
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03/10/2023
Decision-Making Under Uncertainty: Beyond Probabilities
This position paper reflects on the state-of-the-art in decision-making ...
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01/12/2023
Safe Policy Improvement for POMDPs via Finite-State Controllers
We study safe policy improvement (SPI) for partially observable Markov d...
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12/10/2022
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking
Deep Reinforcement Learning (RL) agents are susceptible to adversarial n...
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10/02/2022
Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation
We address the problem of safe reinforcement learning from pixel observa...
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05/31/2022
Robust Anytime Learning of Markov Decision Processes
Markov decision processes (MDPs) are formal models commonly used in sequ...
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09/11/2019
