Tegg Tae Kyong Sung

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 10

Top Topics

Hardware And Software

Reinforcement Learning

Direct Policy Search

Resource Scheduling

Top Venues

Publications

Tegg Tae Kyong Sung, Bo Ryu
Deep Reinforcement Learning for System-on-Chip: Myths and Realities. IEEE Access 10 (2022)
Tegg Tae Kyong Sung, Bo Ryu
Deep Reinforcement Learning for System-on-Chip: Myths and Realities. CoRR (2022)
Tegg Tae Kyong Sung, Bo Ryu
SoCRATES: System-on-Chip Resource Adaptive Scheduling using Deep Reinforcement Learning. ICMLA (2021)
Tegg Tae Kyong Sung, Bo Ryu
A Scalable and Reproducible System-on-Chip Simulation for Reinforcement Learning. CoRR (2021)
Tegg Tae Kyong Sung, Bo Ryu
SoCRATES: System-on-Chip Resource Adaptive Scheduling using Deep Reinforcement Learning. CoRR (2021)
Tegg Tae Kyong Sung, Jeongsoo Ha, Jeewoo Kim, Alex Yahja, Bo Ryu
DeepSoCS: A Neural Scheduler for Heterogeneous System-on-Chip Resource Scheduling. CoRR (2020)
Tegg Tae Kyong Sung, Valliappa Chockalingam, Alex Yahja, Bo Ryu
Neural Heterogeneous Scheduler. CoRR (2019)
Valliappa Chockalingam, Tegg Tae Kyong Sung, Feryal Behbahani, Rishab Gargeya, Amlesh Sivanantham, Aleksandra Malysheva
Extending World Models for Multi-Agent Reinforcement Learning in MALMÖ. AIIDE Workshops (2018)
Aleksandra Malysheva, Tegg Tae Kyong Sung, Chae-Bong Sohn, Daniel Kudenko, Aleksei Shpilman
Deep Multi-Agent Reinforcement Learning with Relevance Graphs. CoRR (2018)
Hyeon Su Kim, Sang Bum Nam, Sang Geun Choi, Chang Hyung Kim, Tegg Tae Kyong Sung, Chae-Bong Sohn
HLS-based 360 VR using spatial segmented adaptive streaming. ICCE (2018)