Sciweavers

135 search results - page 5 / 27
» An online POMDP algorithm for complex multiagent environment...
Sort
View
IJRR
2010
162views more  IJRR 2010»
14 years 10 months ago
Planning under Uncertainty for Robotic Tasks with Mixed Observability
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun...
ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
15 years 6 months ago
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...
101
Voted
ATAL
2005
Springer
15 years 5 months ago
Agent-organized networks for dynamic team formation
Many multi-agent systems consist of a complex network of autonomous yet interdependent agents. Examples of such networked multi-agent systems include supply chains and sensor netw...
Matthew E. Gaston, Marie desJardins
AAAI
2010
15 years 1 months ago
Trial-Based Dynamic Programming for Multi-Agent Planning
Trial-based approaches offer an efficient way to solve singleagent MDPs and POMDPs. These approaches allow agents to focus their computations on regions of the environment they en...
Feng Wu, Shlomo Zilberstein, Xiaoping Chen
AAAI
2008
15 years 1 months ago
Planning for Human-Robot Interaction Using Time-State Aggregated POMDPs
In order to interact successfully in social situations, a robot must be able to observe others' actions and base its own behavior on its beliefs about their intentions. Many ...
Frank Broz, Illah R. Nourbakhsh, Reid G. Simmons