Taehyun Cho

18 papers A* 6A 1B 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning graph based individual intrinsic reward for multi-agent reinforcement learning.
ICT Express
Seokhun Ju, Seungyub Han, Taehyun Cho, Jungwoo Lee, Taeyoung Lee, Minkyoung Kim, Jinho An
2026 J jnl
MVP-LAM: Learning Action-Centric Latent Action via Cross-Viewpoint Reconstruction.
CoRR
Jung Min Lee, Dohyeok Lee, Seokhun Ju, Taehyun Cho, Jin Woo Koo, Li Zhao, Sangwoo Hong, Jungwoo Lee
2025 A* conf
Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation.
ICML
Taehyun Cho, Seungyub Han, Seokhun Ju, Dohyeong Kim, Kyungjae Lee, Jungwoo Lee
2025 J jnl
Learning Generalizable Visuomotor Policy through Dynamics-Alignment.
CoRR
Dohyeok Lee, Jung Min Lee, Munkyung Kim, Seokhun Ju, Jin Woo Koo, Kyungjae Lee, Dohyeong Kim, Taehyun Cho, Jungwoo Lee
2025 A* conf
Policy-labeled Preference Learning: Is Preference Enough for RLHF?
ICML
Taehyun Cho, Seokhun Ju, Seungyub Han, Dohyeong Kim, Kyungjae Lee, Jungwoo Lee
2025 J jnl
Policy-labeled Preference Learning: Is Preference Enough for RLHF?
CoRR
Taehyun Cho, Seokhun Ju, Seungyub Han, Dohyeong Kim, Kyungjae Lee, Jungwoo Lee
2024 J jnl
On the Convergence of Continual Learning with Adaptive Methods.
CoRR
Seungyub Han, Yeongmo Kim, Taehyun Cho, Jungwoo Lee
2024 J jnl
SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning.
CoRR
Dohyeok Lee, Seungyub Han, Taehyun Cho, Jungwoo Lee
2024 A* conf
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees.
NeurIPS
Dohyeong Kim, Taehyun Cho, Seungyub Han, Hojun Chung, Kyungjae Lee, Songhwai Oh
2024 J jnl
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees.
CoRR
Dohyeong Kim, Taehyun Cho, Seungyub Han, Hojun Chung, Kyungjae Lee, Songhwai Oh
2024 J jnl
Tractable and Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation.
CoRR
Taehyun Cho, Seungyub Han, Kyungjae Lee, Seokhun Ju, Dohyeong Kim, Jungwoo Lee
2023 A conf
On the Convergence of Continual Learning with Adaptive Methods.
UAI
Seungyub Han, Yeongmo Kim, Taehyun Cho, Jungwoo Lee
2023 A* conf
Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion.
NeurIPS
Taehyun Cho, Seungyub Han, Heesoo Lee, Kyungjae Lee, Jungwoo Lee
2023 J jnl
Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion.
CoRR
Taehyun Cho, Seungyub Han, Heesoo Lee, Kyungjae Lee, Jungwoo Lee
2023 A* conf
SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning.
NeurIPS
Dohyeok Lee, Seungyub Han, Taehyun Cho, Jungwoo Lee
2021 A* conf
Chebyshev Polynomial Codes: Task Entanglement-based Coding for Distributed Matrix Multiplication.
ICML
Sangwoo Hong, Heecheol Yang, YoungSeok Yoon, Taehyun Cho, Jungwoo Lee
2021 J jnl
Optimized Shallow Neural Networks for Sum-Rate Maximization in Energy Harvesting Downlink Multiuser NOMA Systems.
IEEE J. Sel. Areas Commun.
Heasung Kim, Taehyun Cho, Jungwoo Lee, Wonjae Shin, H. Vincent Poor
2020 B conf
An Efficient Neural Network Architecture for Rate Maximization in Energy Harvesting Downlink Channels.
ISIT
Heasung Kim, Taehyun Cho, Jungwoo Lee, Wonjae Shin, H. Vincent Poor