Deep reinforcement learning with relational inductive biases.
Vinícius Flores ZambaldiDavid RaposoAdam SantoroVictor BapstYujia LiIgor BabuschkinKarl TuylsDavid P. ReichertTimothy P. LillicrapEdward LockhartMurray ShanahanVictoria LangstonRazvan PascanuMatthew BotvinickOriol VinyalsPeter W. BattagliaPublished in: ICLR (Poster) (2019)
Keyphrases
- reinforcement learning
- relational reinforcement learning
- machine learning
- inductive logic programming
- relational databases
- inductive learning
- relational learning
- function approximation
- optimal policy
- relational data
- deep learning
- reinforcement learning algorithms
- learning process
- state space
- data model
- multi relational
- learning problems
- temporal difference
- multi agent reinforcement learning
- transfer learning
- reinforcement learning methods
- database language
- relational model
- markov decision processes
- supervised learning
- knowledge representation
- inductive reasoning
- learning algorithm
- database
- robotic control
- inductive bias
- model free
- multi agent
- database systems
- decision trees
- data sets