An Experimental Study of Advice in Sequential Decision-Making Under Uncertainty.
Florian BenaventBruno ZanuttiniPublished in: AAAI (2018)
Keyphrases
- sequential decision making under uncertainty
- markov decision processes
- expected utility
- influence diagrams
- state space
- finite state
- decision makers
- reinforcement learning
- optimal policy
- decision theoretic
- infinite horizon
- partially observable markov decision processes
- domain specific
- partially observable
- dynamic programming
- decision problems
- sensitivity analysis
- decision theory