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09/16/2023
Intelligent machines work in unstructured environments by differential neural computing
Expecting intelligent machines to efficiently work in real world require...
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07/03/2023
Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning
Breaking safety constraints in control systems can lead to potential ris...
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05/28/2023
Sample Complexity of Variance-reduced Distributionally Robust Q-learning
Dynamic decision making under distributional shifts is of fundamental in...
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02/26/2023
A Finite Sample Complexity Bound for Distributionally Robust Q-learning
We consider a reinforcement learning setting in which the deployment env...
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02/15/2023
Optimal Sample Complexity of Reinforcement Learning for Uniformly Ergodic Discounted Markov Decision Processes
We consider the optimal sample complexity theory of tabular reinforcemen...
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11/15/2021