Scheduling Straight-Line Code Using Reinforcement Learning and Rollouts.
Amy McGovernJ. Eliot B. MossPublished in: NIPS (1998)
Keyphrases
- straight line
- reinforcement learning
- hough transform
- scheduling problem
- function approximation
- line segments
- line detection
- scheduling algorithm
- state space
- feature points
- curvature estimation
- source code
- vanishing points
- reinforcement learning algorithms
- model free
- temporal difference
- instruction scheduling
- radon transform
- dynamic programming
- markov decision processes
- action selection
- policy search
- intersection points
- approximate policy iteration
- optimal policy
- multi agent
- feature selection
- continuous state
- monte carlo tree search
- machine learning
- data sets