Rethinking formal models of partially observable multiagent decision making.
Vojtech KovaríkMartin SchmidNeil BurchMichael BowlingViliam LisýPublished in: Artif. Intell. (2022)
Keyphrases
- formal models
- partially observable
- dec pomdps
- decision making
- multi agent
- reinforcement learning
- markov decision processes
- decision problems
- dynamical systems
- state space
- rule based systems
- formal model
- infinite horizon
- partial observability
- partial observations
- process model
- markov decision problems
- multiagent systems
- planning under uncertainty
- decision makers
- partially observable markov decision process
- action models
- multi agent systems
- partially observable environments
- fuzzy logic
- data mining
- belief state
- dynamic programming
- decision process
- reward function
- orders of magnitude
- artificial intelligence
- single agent
- multiple agents
- planning domains
- heuristic search