Tegg Tae Kyong Sung

According to our database, Tegg Tae Kyong Sung authored at least 8 papers between 2018 and 2022.

Collaborative distances:

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

2022

Deep Reinforcement Learning for System-on-Chip: Myths and Realities.

Tegg Tae Kyong Sung, Bo Ryu

IEEE Access, 2022

2021

A Scalable and Reproducible System-on-Chip Simulation for Reinforcement Learning.

Tegg Tae Kyong Sung, Bo Ryu

CoRR, 2021

SoCRATES: System-on-Chip Resource Adaptive Scheduling using Deep Reinforcement Learning.

Tegg Tae Kyong Sung, Bo Ryu

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

DeepSoCS: A Neural Scheduler for Heterogeneous System-on-Chip Resource Scheduling.

Tegg Tae Kyong Sung, Jeongsoo Ha, Jeewoo Kim, Alex Yahja, Bo Ryu

CoRR, 2020

2019

Neural Heterogeneous Scheduler.

Tegg Tae Kyong Sung, Valliappa Chockalingam, Alex Yahja, Bo Ryu

CoRR, 2019

2018

Deep Multi-Agent Reinforcement Learning with Relevance Graphs.

Aleksandra Malysheva, Tegg Tae Kyong Sung, Chae-Bong Sohn, Daniel Kudenko, Aleksei Shpilman

CoRR, 2018

HLS-based 360 VR using spatial segmented adaptive streaming.

Hyeon Su Kim, Sang Bum Nam, Sang Geun Choi, Chang Hyung Kim, Tegg Tae Kyong Sung, Chae-Bong Sohn

Proceedings of the IEEE International Conference on Consumer Electronics, 2018

Extending World Models for Multi-Agent Reinforcement Learning in MALMÖ.

Valliappa Chockalingam, Tegg Tae Kyong Sung, Feryal M. P. Behbahani, Rishab Gargeya, Amlesh Sivanantham, Aleksandra Malysheva

Proceedings of the Joint Proceedings of the AIIDE 2018 Workshops co-located with 14th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2018), 2018