Multi-task Reinforcement Learning in Partially Observable Stochastic Environments.
Hui LiXuejun LiaoLawrence CarinPublished in: J. Mach. Learn. Res. (2009)
Keyphrases
- partially observable
- multi task
- reinforcement learning
- transfer learning
- multi task learning
- learning problems
- learning tasks
- state space
- partial observability
- markov decision processes
- partially observable domains
- dynamical systems
- fully observable
- decision problems
- markov decision problems
- infinite horizon
- partially observable environments
- multi class
- reward function
- learning algorithm
- reinforcement learning algorithms
- feature selection
- optimal policy
- belief state
- dynamic programming
- supervised learning
- machine learning
- multi agent
- optimal control
- information gain
- learning process
- probabilistic model
- pairwise
- policy iteration
- action space
- higher order