Alignment in Vision-Oriented Syntactic Language Games for Teams of Robots Using Stochastic Regular Grammars and Reinforcement Learning.
Jack Mario MingoDarío MaravallJavier de Lope AsiaínPublished in: IWINAC (2) (2013)
Keyphrases
- context free
- natural language
- reinforcement learning
- context free grammars
- direct policy search
- grammar rules
- phrase structure
- context dependent
- stochastic context free grammars
- cooperative
- robotic agents
- grammatical inference
- regular languages
- parse tree
- probabilistic context free grammars
- stochastic grammar
- visual languages
- robotic control
- finite state
- language generation
- multi robot
- mobile robot
- multi agent
- robot control
- real robot
- syntactic pattern recognition
- tree grammars
- solve complex tasks
- mildly context sensitive
- team members
- robot teams
- function approximation
- learning agents
- robotic soccer
- stochastic approximation
- natural language sentences
- vision system
- inductive inference
- service robots
- word alignment
- language processing
- formal language
- machine learning
- computer programs
- autonomous robots
- semantic representation
- markov decision processes
- linguistic knowledge
- learning algorithm
- game playing
- state space
- video games
- robocup soccer
- robotic systems
- syntactic categories
- nash equilibrium
- semantic analysis
- action selection
- semantic role labeling