Exploiting State Constraints in Heuristic State-Space Planning.
Ioannis RefanidisIoannis P. VlahavasPublished in: AIPS (2000)
Keyphrases
- state space
- heuristic function
- forward search
- heuristic search
- goal state
- planning problems
- dynamic programming
- planning graph
- state variables
- classical planning
- stochastic domains
- constraint satisfaction
- partially observable
- domain independent planning
- initial state
- belief state
- reinforcement learning
- state transition
- macro actions
- planning tasks
- heuristic search algorithms
- markov chain
- finite state automaton
- markov decision process
- reinforcement learning algorithms
- belief space
- optimal policy
- particle filter
- optimal planning
- lower and upper bounds
- planning domains
- markov decision processes
- monte carlo
- search algorithm
- partial plans
- machine learning