Exploiting belief bounds: practical POMDPs for personal assistant agents.
Pradeep VarakanthamRajiv T. MaheswaranMilind TambePublished in: AAMAS (2005)
Keyphrases
- belief state
- multi agent systems
- multi agent
- belief space
- distributed constraint optimization
- point based value iteration
- single agent
- real world
- multiple agents
- intelligent agents
- multiagent systems
- cooperative
- software agents
- dynamic environments
- state space
- artificial agents
- reinforcement learning
- upper bound
- partial observability
- decision making
- mobile agents
- autonomous agents
- partially observable stochastic games
- dec pomdps
- upper and lower bounds
- markov decision processes
- partially observable
- agent systems
- resource allocation
- agent architecture
- worst case
- lower bound
- lower and upper bounds
- game theory
- error bounds
- knowledge base
- incomplete information