Ayudante: A Deep Reinforcement Learning Approach to Assist Persistent Memory Programming.
Hanxian HuangZixuan WangJuno KimSteven SwansonJishen ZhaoPublished in: USENIX Annual Technical Conference (2021)
Keyphrases
- reinforcement learning
- memory usage
- programming language
- function approximation
- memory requirements
- reinforcement learning algorithms
- state space
- computer programming
- markov decision processes
- associative memory
- memory size
- memory space
- object oriented programming
- multi agent
- genetic algorithm
- multi agent reinforcement learning
- random access
- programming environment
- temporal difference
- optimal control
- programming course
- development environment
- model free
- limited memory
- learning problems