Simplified Risk-aware Decision Making with Belief-dependent Rewards in Partially Observable Domains (Extended Abstract).
Andrey ZhitnikovVadim IndelmanPublished in: IJCAI (2023)
Keyphrases
- extended abstract
- decision making
- partially observable domains
- reinforcement learning
- partially observable
- decision makers
- expected utility
- markov decision processes
- inverse reinforcement learning
- state space
- multi agent
- belief state
- dynamic programming
- belief functions
- data mining
- sensing actions
- reward function
- action selection
- decision theory
- multi criteria
- model free
- influence diagrams
- belief revision
- supply chain
- search algorithm