18 search results - page 4 / 4 » Approximate planning for decentralized MDPs with sparse inte... |
ATAL
2007
Springer
13 years 11 months ago
2007
Springer
Decentralized MDPs provide powerful models of interactions in multi-agent environments, but are often very difficult or even computationally infeasible to solve optimally. Here we...
ATAL
2009
Springer
14 years 4 days ago
2009
Springer
Many problems of multiagent planning under uncertainty require distributed reasoning with continuous resources and resource limits. Decentralized Markov Decision Problems (Dec-MDP...
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...