A Q-learning approach based on human reasoning for navigation in a dynamic environment.
Rupeng YuanFuhai ZhangYu WangYili FuShuguo WangPublished in: Robotica (2019)
Keyphrases
- dynamic environments
- potential field
- human reasoning
- scientific discovery
- fuzzy logic
- path planning
- machine learning
- artificial intelligence
- cognitive psychology
- mobile robot
- causal relationships
- collision free
- contextual knowledge
- knowledge representation
- changing environment
- collision avoidance
- real environment
- databases
- reinforcement learning
- multi robot
- contextual information
- reinforcement learning algorithms
- knowledge discovery
- control system
- decision making
- optimal policy
- intelligent systems
- computational intelligence
- knowledge base
- real time