: A Memory-oriented Optimization Approach to Reinforcement Learning on FPGA-based Embedded Systems.
Siva Satyendra SahooAkhil Raj BaranwalSalim UllahAkash KumarPublished in: ACM Great Lakes Symposium on VLSI (2021)
Keyphrases
- embedded systems
- computing power
- reinforcement learning
- low cost
- field programmable gate array
- flash memory
- real time systems
- embedded devices
- embedded software
- processing power
- resource limited
- real time image processing
- software systems
- hardware software
- hw sw
- embedded real time systems
- machine learning
- memory requirements
- smart camera
- design methodology
- limited memory
- safety critical
- cooperative
- data structure