18 search results - page 4 / 4 » Approximate planning for decentralized MDPs with sparse inte... |
ATAL
2007
Springer
13 years 12 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 10 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...