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Found 4 papers, 1 papers with code
Clustered Multi-Agent Linear Bandits
We address in this paper a particular instance of the multi-agent linear stochastic bandit problem, called clustered multi-agent linear bandits.
Price of Safety in Linear Best Arm Identification
We introduce the safe best-arm identification framework with linear feedback, where the agent is subject to some stage-wise safety constraint that linearly depends on an unknown parameter vector.
Learning to solve TV regularised problems with unrolled algorithms
In this paper, we accelerate such iterative algorithms by unfolding proximal gradient descent solvers in order to learn their parameters for 1D TV regularized problems.
Learning to solve TV regularized problems with unrolled algorithms
In this paper, we accelerate such iterative algorithms by unfolding proximal gradient descent solvers in order to learn their parameters for 1D TV regularized problems.
