Reinforcement Learning with Structured Hierarchical Grammar Representations of Actions.
Petros ChristodoulouRobert Tjarko LangeAli ShaftiA. Aldo FaisalPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- action selection
- perceptual aliasing
- action space
- state and action spaces
- function approximation
- partially observable
- plan recognition
- reward function
- conceptual representation
- hierarchical reinforcement learning
- state space
- multiagent reinforcement learning
- hierarchical models
- structured data
- markov decision processes
- hierarchical structure
- partially observable domains
- human actions
- natural language
- finite state automata
- learning agent
- state action
- partial observability
- max margin learning
- machine learning
- multi agent
- learning process
- transfer learning
- reinforcement learning algorithms
- optimal policy
- learning algorithm
- bayesian networks
- multi agent systems
- structured representations
- hidden markov models
- information extraction
- initially unknown
- human activities
- sensory inputs
- optimal control
- function approximators
- situation calculus
- decision theoretic
- hierarchical model
- context free grammars