Factored Beliefs for Machine Agents in Decentralized Partially Observable Markov Decision Processes.
Joshua A. LapsoGilbert L. PetersonPublished in: FLAIRS (2022)
Keyphrases
- multi agent
- partially observable markov decision processes
- partially observable stochastic games
- dec pomdps
- single agent
- multiple agents
- state space
- partial observability
- multi agent systems
- cooperative
- dynamic programming
- planning under uncertainty
- decision theoretic
- reinforcement learning
- multiagent systems
- finite state
- nash equilibrium
- fully observable
- belief space
- decision making
- markov decision processes
- decision problems
- optimal policy
- decentralized control
- belief state
- dynamical systems
- stochastic domains
- continuous state
- dynamic environments
- special case
- partially observable domains
- resource allocation
- learning agent
- probability distribution
- mobile robot
- decision theoretic planning
- mental states
- belief revision
- heuristic search