Neurosymbolic Reinforcement Learning and Planning: A Survey.
Kamal AcharyaWaleed RazaCarlos M. J. M. Dourado JúniorAlvaro VelasquezHoubing Herbert SongPublished in: IEEE Trans. Artif. Intell. (2024)
Keyphrases
- reinforcement learning
- action selection
- function approximation
- deterministic domains
- blocks world
- planning problems
- data sets
- reinforcement learning algorithms
- goal oriented
- heuristic search
- multi agent
- learning algorithm
- robotic control
- multi agent reinforcement learning
- stochastic domains
- partially observable
- neural network
- ai planning
- motion planning
- optimal control
- markov decision processes
- optimal policy
- model free
- mixed initiative
- planning process
- partial observability
- autonomous learning
- learning problems
- policy search
- reinforcement learning problems
- machine learning
- problems in artificial intelligence