Generating and Exploiting Cost Predictions in Heuristic State-Space Planning.
Francesco PercassiAlfonso Emilio GereviniEnrico ScalaIvan SerinaMauro VallatiPublished in: ICAPS (2020)
Keyphrases
- state space
- heuristic function
- heuristic search
- optimal planning
- forward search
- classical planning
- planning problems
- goal state
- stochastic domains
- heuristic search algorithms
- planning graph
- state space search
- pattern databases
- reinforcement learning
- domain independent
- optimal plans
- dynamic programming
- admissible heuristics
- state variables
- search space
- search effort
- planning tasks
- particle filter
- search algorithm
- real time search algorithms
- partially observable
- dynamical systems
- initial state
- optimal policy
- expected cost
- markov decision processes
- ai planning
- belief state
- domain independent planning
- optimal cost
- reinforcement learning algorithms
- lookup table
- markov decision process
- evaluation function
- markov decision problems
- macro actions
- plan quality
- partial plans
- optimal solution