Deep Reinforcement Learning for System-on-Chip: Myths and Realities.
Tegg Tae Kyong SungBo RyuPublished in: IEEE Access (2022)
Keyphrases
- reinforcement learning
- function approximation
- hardware and software
- power consumption
- state space
- robotic control
- embedded systems
- design methodology
- model free
- action selection
- optimal policy
- reinforcement learning algorithms
- temporal difference learning
- real time
- design space exploration
- deep learning
- hardware software partitioning
- search space
- multi agent
- transfer learning
- dynamic programming