Graph and dynamics interpretation in robotic reinforcement learning task.
Zonggui YaoJun YuJian ZhangWei HePublished in: Inf. Sci. (2022)
Keyphrases
- reinforcement learning
- graph representation
- real time
- mobile robot
- state space
- directed graph
- graph theoretic
- real robot
- structured data
- supervised learning
- optimal policy
- dynamical systems
- semantic interpretation
- graph theory
- weighted graph
- graph model
- graph databases
- model free
- graph construction
- policy search
- robot control
- temporal abstractions
- action selection
- multi agent reinforcement learning
- graph mining
- graph structure
- bipartite graph
- function approximation
- dynamic model
- connected components
- graphical models
- multi agent
- learning algorithm