What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning.
Daniel GordonDieter FoxAli FarhadiPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- action selection
- state space
- reinforcement learning algorithms
- function approximation
- temporal difference learning
- partially observable
- multi agent
- deterministic domains
- heuristic search
- planning problems
- learning algorithm
- decision theoretic
- learning process
- high level
- macro actions
- symbolic representation
- model free
- machine learning
- stochastic domains
- partially observable domains
- reinforcement learning problems
- multi agent reinforcement learning
- mixed initiative
- plan recognition
- optimal policy
- dynamic programming