Generating Safe Assumption-Based Plans for Partially Observable, Nondeterministic Domains.
Alexandre AlborePiergiorgio BertoliPublished in: AAAI (2004)
Keyphrases
- nondeterministic domains
- partially observable
- partial observability
- planning domains
- symbolic model checking
- deterministic domains
- planning problems
- htn planning
- state space
- decision problems
- reinforcement learning
- dynamical systems
- fully observable
- markov decision processes
- plan execution
- ai planning
- belief state
- orders of magnitude
- belief space
- model checking
- infinite horizon
- action models
- markov decision problems
- domain independent
- planning systems
- hidden state
- learning algorithm
- search strategies
- classical planning
- control strategy
- state variables
- partial information
- stochastic domains
- reward function
- machine learning