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ICML
2007
IEEE
16 years 5 months ago
Constructing basis functions from directed graphs for value function approximation
Basis functions derived from an undirected graph connecting nearby samples from a Markov decision process (MDP) have proven useful for approximating value functions. The success o...
Jeffrey Johns, Sridhar Mahadevan
AIPS
2007
15 years 6 months ago
Discovering Relational Domain Features for Probabilistic Planning
In sequential decision-making problems formulated as Markov decision processes, state-value function approximation using domain features is a critical technique for scaling up the...
Jia-Hong Wu, Robert Givan
FORMATS
2010
Springer
15 years 2 months ago
Combining Symbolic Representations for Solving Timed Games
We present a general approach to combine symbolic state space representations for the discrete and continuous parts in the synthesis of winning strategies for timed reachability ga...
Rüdiger Ehlers, Robert Mattmüller, Hans-...
ICML
2003
IEEE
16 years 5 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
CORR
2010
Springer
98views Education» more  CORR 2010»
15 years 3 months ago
Structure-Aware Stochastic Control for Transmission Scheduling
In this report, we consider the problem of real-time transmission scheduling over time-varying channels. We first formulate the transmission scheduling problem as a Markov decisio...
Fangwen Fu, Mihaela van der Schaar