A Survey of Domain-Specific Architectures for Reinforcement Learning.
Marc RothmannMario PorrmannPublished in: IEEE Access (2022)
Keyphrases
- domain specific
- reinforcement learning
- general purpose
- domain independent
- function approximation
- optimal policy
- model free
- learning algorithm
- state space
- domain experts
- reinforcement learning algorithms
- markov decision processes
- control problems
- direct policy search
- transfer learning
- domain ontology
- action selection
- multi agent
- optimal control
- reward function
- dynamic programming
- policy search
- relational reinforcement learning
- robotic control
- metadata