Multi-agent active information gathering in discrete and continuous-state decentralized POMDPs by policy graph improvement.
Mikko LauriJoni PajarinenJan PetersPublished in: Auton. Agents Multi Agent Syst. (2020)
Keyphrases
- continuous state
- information gathering
- partially observable markov decision processes
- multi agent
- dec pomdps
- reinforcement learning
- policy search
- continuous action
- action space
- continuous state spaces
- control policies
- optimal policy
- information fusion
- single agent
- finite state
- state dependent
- decision process
- decision making
- multi agent systems
- point based value iteration
- state space
- dynamic programming
- dynamical systems
- markov decision processes
- random walk
- robot navigation
- belief state
- decision problems
- state action
- markov decision process
- policy gradient
- hidden state
- average reward
- steady state
- multiple agents
- machine learning
- knowledge base
- learning algorithm
- function approximation
- artificial neural networks
- autonomous agents
- infinite horizon
- planning problems