Which Actions Are Always Necessary in Fully-Observable Non-Deterministic Planning?
Yaofang ZhangAdnan DarwichePublished in: FLAIRS (2024)
Keyphrases
- fully observable
- planning problems
- partial observability
- classical planning
- partially observable
- stochastic domains
- belief space
- state space
- goal state
- markov decision problems
- domain independent
- heuristic search
- planning domains
- belief state
- initial state
- decision theoretic
- reinforcement learning
- hidden state
- decision problems
- ai planning
- planning graph
- partially observable markov decision processes
- decentralized control
- dynamical systems
- deterministic domains
- markov decision processes
- plan recognition
- domain specific
- multiple agents
- planning under uncertainty
- reasoning about actions
- markov decision process
- infinite horizon
- situation calculus
- dynamic environments
- linear programming
- mobile robot
- hidden markov models
- search space