Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments.
Liyu ChenHaipeng LuoPublished in: NeurIPS (2022)
Keyphrases
- goal oriented
- reinforcement learning
- function approximation
- state space
- decentralized control
- requirements analysis
- process oriented
- non stationary
- requirements engineering
- multi agent
- model free
- policy search
- data marts
- robotic control
- temporal difference
- dynamic programming
- machine learning
- data mining
- reinforcement learning algorithms
- learning algorithm
- class imbalance
- learning problems
- reward function
- markov decision processes
- optimal policy
- learning process
- databases