A Deep-Reinforcement-Learning-Based Scheduler for High-Level Synthesis.
Hongzheng ChenMinghua ShenPublished in: FPGA (2019)
Keyphrases
- high level synthesis
- reinforcement learning
- function approximation
- parallel architecture
- scheduling algorithm
- state space
- reinforcement learning algorithms
- markov decision processes
- temporal difference
- machine learning
- learning algorithm
- model free
- multi agent
- optimal policy
- dynamic programming
- expert systems
- artificial intelligence
- design space exploration