Zero-Shot Reinforcement Learning on Graphs for Autonomous Exploration Under Uncertainty.
Fanfei ChenPaul SzenherYewei HuangJinkun WangTixiao ShanShi BaiBrendan J. EnglotPublished in: CoRR (2021)
Keyphrases
- autonomous learning
- reinforcement learning
- active exploration
- exploration strategy
- partial observability
- model based reinforcement learning
- action selection
- state space
- exploration exploitation
- graph matching
- exploration exploitation tradeoff
- random graphs
- function approximation
- graph theory
- learning capabilities
- model free
- reinforcement learning algorithms
- graph representation
- autonomous navigation
- partially observable
- graph theoretic
- cooperative
- uncertain data
- neural network
- unknown environments
- learning algorithm
- balancing exploration and exploitation
- social networks
- dynamic programming
- random walk
- evolutionary learning
- optimal policy
- transfer learning
- directed graph
- object categories
- possibility theory
- information visualization
- weighted graph
- belief functions
- temporal difference