Using Active Relocation to Aid Reinforcement Learning.
Lilyana MihalkovaRaymond J. MooneyPublished in: FLAIRS Conference (2006)
Keyphrases
- reinforcement learning
- function approximation
- learning algorithm
- state space
- machine learning
- dynamic programming
- markov decision processes
- direct policy search
- real time
- robotic control
- temporal difference learning
- model free
- artificial intelligence
- monte carlo
- supervised learning
- support vector
- control problems
- vehicle routing
- multi agent
- continuous state
- multi agent reinforcement learning
- knowledge base