83 search results - page 16 / 17 » Planning and Acting in Partially Observable Stochastic Domai... |
NIPS
2007
13 years 7 months ago
2007
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...
ICMAS
2000
13 years 7 months ago
2000
We consider multiple agents who's task is to determine the true state of a uncertain domain so they can act properly. If each agent only has partial knowledge about the domai...
UAI
2008
13 years 7 months ago
2008
Planning can often be simplified by decomposing the task into smaller tasks arranged hierarchically. Charlin et al. [4] recently showed that the hierarchy discovery problem can be...
ATAL
2007
Springer
14 years 14 days ago
2007
Springer
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are a popular approach for modeling multi-agent systems acting in uncertain domains. Given the signi...
ATAL
2008
Springer
13 years 8 months ago
2008
Springer
Many applications of networks of agents, including mobile sensor networks, unmanned air vehicles, autonomous underwater vehicles, involve 100s of agents acting collaboratively und...