Human Causal Transfer: Challenges for Deep Reinforcement Learning.
Mark EdmondsJames KubrichtColin SummersYixin ZhuBrandon RothrockSong-Chun ZhuHongjing LuPublished in: CogSci (2018)
Keyphrases
- reinforcement learning
- transfer learning
- lessons learned
- human interaction
- key issues
- multi agent
- state space
- function approximation
- real world
- robotic control
- causal networks
- human subjects
- optimal policy
- dynamic programming
- human experts
- learning process
- learning environment
- bayesian networks
- causal relationships
- learning algorithm
- function approximators
- causal reasoning
- causal relations
- data mining
- neural network
- transferring knowledge