Generating Reward Functions Using IRL Towards Individualized Cancer Screening.
Panayiotis PetousisSimon X. HanWilliam HsuAlex A. T. BuiPublished in: AIH@IJCAI (Revised Selected Papers) (2018)
Keyphrases
- reward function
- inverse reinforcement learning
- state space
- cervical cancer
- markov decision processes
- reinforcement learning
- reinforcement learning algorithms
- optimal policy
- multiple agents
- partially observable
- drug discovery
- markov decision process
- policy search
- breast cancer
- transition probabilities
- preference elicitation
- state variables
- simple examples
- initially unknown
- generative model
- early detection
- markov chain
- state action
- prostate cancer
- objective function
- multi agent
- sufficient conditions