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» Forward Estimation for Game-Tree Search
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AAAI
1996
13 years 6 months ago
Forward Estimation for Game-Tree Search
It is known that bounds on the minimax values of nodes in a game tree can be used to reduce the computational complexity of minimax search for two-player games. We describe a very...
Weixiong Zhang
AAAI
2006
13 years 6 months ago
Properties of Forward Pruning in Game-Tree Search
Forward pruning, or selectively searching a subset of moves, is now commonly used in game-playing programs to reduce the number of nodes searched with manageable risk. Forward pru...
Yew Jin Lim, Wee Sun Lee
ESANN
2008
13 years 6 months ago
Learning to play Tetris applying reinforcement learning methods
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
Alexander Groß, Jan Friedland, Friedhelm Sch...
ICC
2007
IEEE
126views Communications» more  ICC 2007»
13 years 11 months ago
Probabilistic Search in P2P Networks with High Node Degree Variation
— A novel Adaptive Resource-based Probabilistic Search algorithm (ARPS) for P2P networks is proposed in this paper. ARPS introduces weighted probabilistic forwarding for query me...
Haoxiang Zhang, Lin Zhang, Xiuming Shan, Victor O....
IJCAI
2007
13 years 6 months ago
Using Learned Policies in Heuristic-Search Planning
Many current state-of-the-art planners rely on forward heuristic search. The success of such search typically depends on heuristic distance-to-the-goal estimates derived from the ...
Sung Wook Yoon, Alan Fern, Robert Givan