Rethinking Formal Models of Partially Observable Multiagent Decision Making.
Vojtech KovaríkMartin SchmidNeil BurchMichael BowlingViliam LisýPublished in: CoRR (2019)
Keyphrases
- formal models
- partially observable
- dec pomdps
- decision making
- multi agent
- reinforcement learning
- markov decision processes
- decision problems
- state space
- rule based systems
- formal model
- dynamical systems
- infinite horizon
- process model
- partial observations
- partial observability
- partially observable markov decision process
- planning under uncertainty
- partially observable environments
- decision makers
- decision process
- markov decision problems
- multiagent systems
- data mining
- reward function
- belief state
- dynamic programming
- action models
- multiple agents
- multi agent systems
- partially observable markov decision processes
- machine learning
- np hard
- supply chain
- sufficient conditions
- knowledge based systems
- optimal policy
- business process