Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs.
Fanfei ChenJohn D. MartinYewei HuangJinkun WangBrendan J. EnglotPublished in: CoRR (2020)
Keyphrases
- autonomous learning
- reinforcement learning
- exploration strategy
- active exploration
- action selection
- partial observability
- markov decision processes
- graph representation
- function approximation
- learning capabilities
- model based reinforcement learning
- random graphs
- uncertain data
- dynamic programming
- exploration exploitation
- exploration exploitation tradeoff
- graph theoretic
- graph matching
- machine learning
- multi agent
- graph theory
- robotic systems
- cooperative
- reinforcement learning algorithms
- directed graph
- state space
- deep learning
- balancing exploration and exploitation
- learning algorithm
- learning process
- decentralized control
- decision problems
- unmanned aerial vehicles
- graph mining
- temporal difference
- model free
- decision theory
- graph structure
- graph model