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math.OC2022★ 1 cited
A model-free first-order method for linear quadratic regulator with sampling complexity
Caleb Ju, Georgios Kotsalis, Guanghui Lan
We consider the classic stochastic linear quadratic regulator (LQR) problem under an infinite horizon average stage cost. By leveraging recent policy gradient methods from reinforc…
cs.LG2022
Policy Optimization over General State and Action Spaces
Caleb Ju, Guanghui Lan
Reinforcement learning (RL) problems over general state and action spaces are notoriously challenging. In contrast to the tableau setting, one can not enumerate all the states and…