Multi-Task Approach to Reinforcement Learning for Factored-State Markov Decision Problems.
Jaak SimmMasashi SugiyamaHirotaka HachiyaPublished in: IEICE Trans. Inf. Syst. (2012)
Keyphrases
- multi task
- state space
- markov decision problems
- reinforcement learning
- factored markov decision processes
- partially observable
- multi task learning
- transfer learning
- action space
- optimal policy
- learning problems
- learning tasks
- markov decision processes
- dynamic programming
- state variables
- reinforcement learning algorithms
- feature selection
- linear programming
- graphical models
- function approximation
- transition probabilities
- objective function
- neural network
- learning process
- training data
- learning algorithm