Meta-Reinforcement Learning for Heuristic Planning.
Ricardo Luna GutierrezMatteo LeonettiPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- heuristic function
- state space
- forward search
- planning problems
- optimal planning
- dynamic programming
- classical planning
- heuristic search
- action selection
- search algorithm
- enforced hill climbing
- stochastic domains
- deterministic domains
- macro actions
- domain independent planning
- multi agent
- plan quality
- reinforcement learning problems
- complex domains
- partially observable
- reinforcement learning algorithms
- optimal control
- markov decision processes
- function approximation
- meta level
- real time search algorithms
- search space
- evolutionary algorithm
- simulated annealing
- solution quality
- optimal plans
- partial observability
- planning graph
- admissible heuristics
- partially observable markov decision processes
- machine learning
- state space search
- planning systems
- heuristic search algorithms
- domain independent
- optimal policy
- motion planning
- decision theoretic
- learning algorithm