Search Results for author: Tae-Kyoung Kim

Found 2 papers, 0 papers with code

Newton Raphson Emulation Network for Highly Efficient Computation of Numerous Implied Volatilities

no code implementations28 Oct 2022 Geon Lee, Tae-Kyoung Kim, Hyun-Gyoon Kim, Jeonggyu Huh

In finance, implied volatility is an important indicator that reflects the market situation immediately.

Semi-Data-Aided Channel Estimation for MIMO Systems via Reinforcement Learning

no code implementations3 Apr 2022 Tae-Kyoung Kim, Yo-Seb Jeon, Jun Li, Nima Tavangaran, H. Vincent Poor

Data-aided channel estimation is a promising solution to improve channel estimation accuracy by exploiting data symbols as pilot signals for updating an initial channel estimate.

reinforcement-learning Reinforcement Learning (RL)

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