Active Learning of Plans for Safety and Reachability Goals With Partial Observability.
Wonhong NamRajeev AlurPublished in: IEEE Trans. Syst. Man Cybern. Part B (2010)
Keyphrases
- partial observability
- nondeterministic domains
- active learning
- planning problems
- symbolic model checking
- state space
- planning under partial observability
- belief space
- partially observable
- planning domains
- deterministic domains
- belief state
- reinforcement learning
- learning strategies
- htn planning
- plan execution
- partial information
- learning algorithm
- learning process
- heuristic search
- semi supervised
- labeled data
- dynamic environments
- planning systems
- learning agent
- supervised learning
- machine learning
- markov decision processes
- training set
- domain specific
- markov chain
- initial state
- ai planning
- transfer learning
- domain independent