Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs.
Fanfei ChenJohn D. MartinYewei HuangJinkun WangBrendan J. EnglotPublished in: IROS (2020)
Keyphrases
- autonomous learning
- reinforcement learning
- active exploration
- exploration strategy
- model based reinforcement learning
- exploration exploitation
- action selection
- partial observability
- markov decision processes
- learning capabilities
- function approximation
- graph theoretic
- state space
- graph theory
- conditional probabilities
- graph representation
- possibility theory
- uncertain data
- optimal policy
- learning algorithm
- bayesian networks
- robotic systems
- cooperative
- model free
- decision theory
- belief functions
- graph clustering
- robust optimization
- autonomous navigation
- graph structure
- dynamic programming
- learning process
- multi agent
- exploration exploitation tradeoff