Supercompiler Code Optimization with Zero-Shot Reinforcement Learning.
Jialong WuChaoyi DengJianmin WangMingsheng LongPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- global optimization
- optimization algorithm
- model free
- state space
- source code
- learning algorithm
- function approximation
- constrained optimization
- optimization strategies
- dynamic programming
- optimization problems
- optimization process
- discrete optimization
- multi agent reinforcement learning
- active learning
- reinforcement learning algorithms