Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments.
Liyu ChenHaipeng LuoPublished in: CoRR (2022)
Keyphrases
- goal oriented
- reinforcement learning
- decentralized control
- requirements analysis
- state space
- function approximation
- process oriented
- reinforcement learning algorithms
- requirements engineering
- learning algorithm
- data marts
- multi agent
- practical problems
- information systems
- provably near optimal
- model free
- optimal policy
- class imbalance
- transfer learning
- mobile robot
- learning process