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ICML
2003
IEEE
16 years 3 months ago
Planning in the Presence of Cost Functions Controlled by an Adversary
We investigate methods for planning in a Markov Decision Process where the cost function is chosen by an adversary after we fix our policy. As a running example, we consider a rob...
H. Brendan McMahan, Geoffrey J. Gordon, Avrim Blum
ISPD
2003
ACM
103views Hardware» more  ISPD 2003»
15 years 8 months ago
An integrated floorplanning with an efficient buffer planning algorithm
Previous works on buffer planning are mainly based on fixed die placement. It is necessary to reduce the complexity of computing the feasible buffer insertion sites to integrate t...
Yuchun Ma, Xianlong Hong, Sheqin Dong, Song Chen, ...
WADS
1997
Springer
91views Algorithms» more  WADS 1997»
15 years 7 months ago
Dynamic Motion Planning in Low Obstacle Density Environments
A fundamental task for an autonomous robot is to plan its own motions. Exact approaches to the solution of this motion planning problem suffer from high worst-case running times. ...
Robert-Paul Berretty, Mark H. Overmars, A. Frank v...
AAAI
2010
15 years 4 months ago
Planning in Dynamic Environments: Extending HTNs with Nonlinear Continuous Effects
Planning in dynamic continuous environments requires reasoning about nonlinear continuous effects, which previous Hierarchical Task Network (HTN) planners do not support. In this ...
Matthew Molineaux, Matthew Klenk, David W. Aha
ATAL
2010
Springer
15 years 4 months ago
Risk-sensitive planning in partially observable environments
Partially Observable Markov Decision Process (POMDP) is a popular framework for planning under uncertainty in partially observable domains. Yet, the POMDP model is riskneutral in ...
Janusz Marecki, Pradeep Varakantham