Decentralized stochastic planning with anonymity in interactions
In this paper, we solve cooperative decentralized stochastic planning problems, where the interactions between agents (specified using transition and reward functions) are dependent on the number of agents (and not on the identity of the individual agents) involved in the interaction. A collision...
Main Authors: | Varakantham, Pradeep, Adulyasak, Yossiri, Jaillet, Patrick |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
Format: | Article |
Language: | en_US |
Published: |
Association for the Advancement of Artificial Intelligence (AAAI)
2015
|
Online Access: | http://hdl.handle.net/1721.1/100438 https://orcid.org/0000-0002-8585-6566 |
Similar Items
-
Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems
by: Ghosh, Supriyo, et al.
Published: (2015) -
Regret Based Robust Solutions for Uncertain Markov Decision Processes
by: Ahmed, Asrar, et al.
Published: (2015) -
Dynamic Repositioning to Reduce Lost Demand in Bike Sharing Systems
by: Ghosh, Supriyo, et al.
Published: (2017) -
Solving uncertain MDPs with objectives that are separable over instantiations of model uncertainty
by: Adulyasak, Yossiri, et al.
Published: (2018) -
Models and Algorithms for Stochastic and Robust Vehicle Routing with Deadlines
by: Adulyasak, Yossiri, et al.
Published: (2017)