Controlled Online Optimization Learning (COOL): Finding the ground state of spin Hamiltonians with reinforcement learning.
Kyle MillsPooya RonaghIsaac TamblynPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- online learning
- learning process
- learning algorithm
- state space
- learning problems
- learning capabilities
- supervised learning
- hidden state
- real time
- learning systems
- online training
- online environment
- learning tasks
- hidden markov models
- prior knowledge
- knowledge acquisition
- optimization problems
- action selection
- partially observable
- markov decision process
- learning agents
- active learning
- evolutionary learning
- bayesian networks
- state abstraction