A Deep-Reinforcement-Learning-Based Scheduler for FPGA HLS.
Hongzheng ChenMinghua ShenPublished in: ICCAD (2019)
Keyphrases
- reinforcement learning
- function approximation
- real time
- hardware implementation
- real time image processing
- high speed
- model free
- state space
- function approximators
- temporal difference
- digital signal
- dynamic programming
- hardware architecture
- low cost
- temporal difference learning
- single chip
- hardware design
- reinforcement learning algorithms
- fpga hardware
- data acquisition
- supervised learning
- optimal policy
- color space
- scheduling algorithm
- learning algorithm
- learning process
- signal processing
- field programmable gate array
- markov decision processes
- action selection
- resource utilization
- deep learning
- electric vehicles
- software implementation
- learning classifier systems
- fpga implementation
- low power consumption
- machine learning
- fpga device
- systolic array
- neural network