A Monte-Carlo Approach for the Endgame of Ms. Pac-Man
... case where k is equal to one. For general values of k, the algorithm in [12], for example, can be used. In our implementation, as the number of vertices of the graph corresponding to a game maze is not large, we simply use depth-first search to find them. The pseudo code is shown in Fig. 3. The algo ...
... case where k is equal to one. For general values of k, the algorithm in [12], for example, can be used. In our implementation, as the number of vertices of the graph corresponding to a game maze is not large, we simply use depth-first search to find them. The pseudo code is shown in Fig. 3. The algo ...
Best Keyword Cover Search
... To overcome this critical drawback, we developed much scalable keyword nearest neighbor expansion (keyword- NNE) algorithm which applies a different strategy. Keyword-NNE selects one query keyword as principal query keyword. The objects associated with the principal query keyword are principal objec ...
... To overcome this critical drawback, we developed much scalable keyword nearest neighbor expansion (keyword- NNE) algorithm which applies a different strategy. Keyword-NNE selects one query keyword as principal query keyword. The objects associated with the principal query keyword are principal objec ...
Online Adaptable Learning Rates for the Game Connect-4
... filtering. Almeida [12] discussed another method of step-size adaptation and applied it to the minimization of nonlinear functions. Schraudolph [13] and, more recently, Li [14] extended IDBD-variants to the nonlinear case: Schraudolph’s ELK1 extends K1 and performs an update with the instantaneous H ...
... filtering. Almeida [12] discussed another method of step-size adaptation and applied it to the minimization of nonlinear functions. Schraudolph [13] and, more recently, Li [14] extended IDBD-variants to the nonlinear case: Schraudolph’s ELK1 extends K1 and performs an update with the instantaneous H ...
Automating Operational Business Decisions Using Artificial
... large companies handle using an Enterprise Resource Planning (ERP) system. These systems provide functions for fast data retrieval, as well as presenting the data to the user in various forms, such as spreadsheets and diagrams. The main purpose of an ERP system is to enable companies to implement st ...
... large companies handle using an Enterprise Resource Planning (ERP) system. These systems provide functions for fast data retrieval, as well as presenting the data to the user in various forms, such as spreadsheets and diagrams. The main purpose of an ERP system is to enable companies to implement st ...
4. - DROPS
... alternative approach is to perform path precomputation and lookup [36], returning paths orders of magnitude faster than online search. Straightforward ways of storing precomputed paths have prohibitive memory requirements, which has been a major impediment to adopting path lookup on a larger scale. ...
... alternative approach is to perform path precomputation and lookup [36], returning paths orders of magnitude faster than online search. Straightforward ways of storing precomputed paths have prohibitive memory requirements, which has been a major impediment to adopting path lookup on a larger scale. ...
A Planning Heuristic Based on Causal Graph Analysis
... item over moving it in the opposite direction, as the heuristic anticipates the eventual need to move the truck back to its origin. More precisely, all states in which no cargo items have been picked up form a single plateau with the same heuristic evaluation. Indeed, if we scale the number of truck ...
... item over moving it in the opposite direction, as the heuristic anticipates the eventual need to move the truck back to its origin. More precisely, all states in which no cargo items have been picked up form a single plateau with the same heuristic evaluation. Indeed, if we scale the number of truck ...
Note - Massachusetts Institute of Technology
... recover from an unlucky choice at one of the nodes near the top of the tree. The search will always continue downward without backing up, even when a shallow solution exists. Thus, on these problems, this search will: • Either get stuck in an infinite loop and never return a solution. • Or it may ev ...
... recover from an unlucky choice at one of the nodes near the top of the tree. The search will always continue downward without backing up, even when a shallow solution exists. Thus, on these problems, this search will: • Either get stuck in an infinite loop and never return a solution. • Or it may ev ...
Adding Local Exploration to Greedy Best-First Search in
... 1 second, by both GBFS-LS and GBFS-LRW, while GBFS needs 771 seconds. The three algorithms built exactly the same search trees until they first achieved the minimum hvalue 6. The local GBFS in GBFS-LS, because it could focus on one branch, found a 5 step path that decreases the minimum h-value using ...
... 1 second, by both GBFS-LS and GBFS-LRW, while GBFS needs 771 seconds. The three algorithms built exactly the same search trees until they first achieved the minimum hvalue 6. The local GBFS in GBFS-LS, because it could focus on one branch, found a 5 step path that decreases the minimum h-value using ...
Induction of decision trees
... u n c o m m o n cases that have not been encountered during the period of recordkeeping. On the other hand, the objects might be a carefully culled set of tutorial examples prepared by a domain expert, each with some particular relevance to a complete and correct classification rule. The expert migh ...
... u n c o m m o n cases that have not been encountered during the period of recordkeeping. On the other hand, the objects might be a carefully culled set of tutorial examples prepared by a domain expert, each with some particular relevance to a complete and correct classification rule. The expert migh ...
Searching and Optimization Techniques in Artificial
... changing from one state to another requires some cost. A*requires a heuristic function to evaluate the cost path that passes through the particular state [2]. It is very good search method but with complexity problems. This algorithm is complete if the branching factor is finite and every action has ...
... changing from one state to another requires some cost. A*requires a heuristic function to evaluate the cost path that passes through the particular state [2]. It is very good search method but with complexity problems. This algorithm is complete if the branching factor is finite and every action has ...