Taehyun Cho

According to our database, Taehyun Cho authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion.

Taehyun Cho, Seungyub Han, Heesoo Lee, Kyungjae Lee, Jungwoo Lee

CoRR, 2023

On the Convergence of Continual Learning with Adaptive Methods.

Seungyub Han, Yeongmo Kim, Taehyun Cho, Jungwoo Lee

Proceedings of the Uncertainty in Artificial Intelligence, 2023

SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning.

Dohyeok Lee, Seungyub Han, Taehyun Cho, Jungwoo Lee

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion.

Taehyun Cho, Seungyub Han, Heesoo Lee, Kyungjae Lee, Jungwoo Lee

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Optimized Shallow Neural Networks for Sum-Rate Maximization in Energy Harvesting Downlink Multiuser NOMA Systems.

Heasung Kim, Taehyun Cho, Jungwoo Lee, Wonjae Shin, H. Vincent Poor

IEEE J. Sel. Areas Commun., 2021

Chebyshev Polynomial Codes: Task Entanglement-based Coding for Distributed Matrix Multiplication.

Sangwoo Hong, Heecheol Yang, Youngseok Yoon, Taehyun Cho, Jungwoo Lee

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

An Efficient Neural Network Architecture for Rate Maximization in Energy Harvesting Downlink Channels.

Heasung Kim, Taehyun Cho, Jungwoo Lee, Wonjae Shin, H. Vincent Poor

Proceedings of the IEEE International Symposium on Information Theory, 2020