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20222026
most citedLearning a local trading strategy: deep reinforcement learning for grid-scale renewable energy integration

1 citations · 2 across the 6 of their papers we have counts for

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2 papers · 1 filter

cs.LG2025

Auto-exploration for online reinforcement learning

Caleb Ju, Guanghui Lan

The exploration-exploitation dilemma in reinforcement learning (RL) is a fundamental challenge to efficient RL algorithms. Existing algorithms for finite state and action discounte…

math.NA2025

Preconditioning via Randomized Range Deflation (RandRAND)

Oleg Balabanov, Caleb Ju, Kaiwen He +2

We introduce RandRAND, a new class of randomized preconditioning methods for large-scale linear systems. RandRAND deflates the spectrum via efficient orthogonal projections onto ra…