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FSTTCS
2006
Springer
13 years 11 months ago
Almost Optimal Strategies in One Clock Priced Timed Games
We consider timed games extended with cost information, and prove computability of the optimal cost and of -optimal memoryless strategies in timed games with one clock. In contrast...
Patricia Bouyer, Kim Guldstrand Larsen, Nicolas Ma...
FSTTCS
2004
Springer
14 years 1 months ago
Optimal Strategies in Priced Timed Game Automata
Priced timed (game) automata extend timed (game) automata with costs on both locations and transitions. In this paper we focus on reachability priced timed game automata and prove ...
Patricia Bouyer, Franck Cassez, Emmanuel Fleury, K...
ICML
1998
IEEE
14 years 8 months ago
Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm
In this paper, we adopt general-sum stochastic games as a framework for multiagent reinforcement learning. Our work extends previous work by Littman on zero-sum stochastic games t...
Junling Hu, Michael P. Wellman
AAAI
2004
13 years 9 months ago
Dynamic Programming for Partially Observable Stochastic Games
We develop an exact dynamic programming algorithm for partially observable stochastic games (POSGs). The algorithm is a synthesis of dynamic programming for partially observable M...
Eric A. Hansen, Daniel S. Bernstein, Shlomo Zilber...
FOCS
2004
IEEE
13 years 11 months ago
Stochastic Optimization is (Almost) as easy as Deterministic Optimization
Stochastic optimization problems attempt to model uncertainty in the data by assuming that (part of) the input is specified in terms of a probability distribution. We consider the...
David B. Shmoys, Chaitanya Swamy