Malthusian Reinforcement Learning.
Joel Z. LeiboJulien PérolatEdward HughesSteven WheelwrightAdam H. MarblestoneEdgar A. Duéñez-GuzmánPeter SunehagIain DunningThore GraepelPublished in: AAMAS (2019)
Keyphrases
- function approximators
- reinforcement learning
- function approximation
- temporal difference
- temporal difference learning
- neural network
- reinforcement learning algorithms
- action space
- state space
- model free
- control problems
- learning algorithm
- case study
- learning process
- supervised learning
- direct policy search
- action selection
- learning problems
- active learning
- artificial neural networks
- multiscale
- machine learning
- real world