Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies.
Sungryull SohnHyunjae WooJongwook ChoiHonglak LeePublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- autonomous learning
- statistical dependencies
- function approximation
- relational dependency networks
- multi agent
- inference process
- inference engine
- evidential reasoning
- machine learning
- probabilistic inference
- learning algorithm
- markov decision processes
- bayesian networks
- learning process
- meta level
- robot control
- optimal policy
- efficient learning
- autonomous mental development
- meta reasoning
- policy search
- cooperative
- dependency analysis
- inference mechanism
- state space
- model free
- probabilistic reasoning
- random fields
- graphical models
- robotic systems
- reinforcement learning algorithms
- temporal difference
- supervised learning
- temporal difference learning
- optimal control
- domain specific
- decentralized control
- robotic control
- belief networks
- domain independent