A Software-Hardware Co-Optimized Toolkit for Deep Reinforcement Learning on Heterogeneous Platforms.
Yuan MengMichael KinsnerDeshanand P. SinghMahesh A IyerViktor K. PrasannaPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- heterogeneous platforms
- computer systems
- hardware design
- low cost
- embedded systems
- real time
- software implementation
- software systems
- commercial off the shelf
- control software
- hardware platforms
- hardware software
- computer hardware
- high end
- hardware designs
- learning algorithm
- optimal policy
- function approximation
- hardware and software
- personal computer
- multi agent
- source code
- software architecture
- image processing
- blue gene
- dedicated hardware
- dynamic programming
- control unit
- software development
- hardware implementation
- software engineering
- industry standard
- operating system
- user interface
- bayesian networks
- software components
- image segmentation
- data acquisition
- protection schemes