Zero-Shot Reinforcement Learning on Graphs for Autonomous Exploration Under Uncertainty.
Fanfei ChenPaul SzenherYewei HuangJinkun WangTixiao ShanShi BaiBrendan J. EnglotPublished in: ICRA (2021)
Keyphrases
- autonomous learning
- reinforcement learning
- exploration strategy
- active exploration
- action selection
- exploration exploitation
- function approximation
- graph theoretic
- partial observability
- model based reinforcement learning
- belief functions
- markov decision processes
- uncertain data
- learning capabilities
- graph mining
- reinforcement learning algorithms
- information visualization
- possibility theory
- graph partitioning
- model free
- graph representation
- neural network
- graph model
- graph theory
- graph matching
- learning process
- cooperative
- social networks
- learning algorithm
- bipartite graph
- graph clustering
- robust optimization
- dynamic programming
- multi agent