New PDF release: 360 Gamer [UK], Issue 110

360 Gamer journal is likely one of the UK’s most sensible price magazines for the Xbox 360 customer. It presents readers with stories and previews of recent video games. It additionally has attention-grabbing good points which includes information of upcoming video games. For these readers seeking to win a few nice prizes it additionally beneficial properties very covetable competitions. The journal is particularly modern since it is released each 3 weeks. which means it will probably provide enthusiasts the opportunity to actually remain prior to the sport! (No pun intended!) The journal additionally deals a loose DVD which bargains new fabric for fanatics to become familiar with.

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Additional resources for 360 Gamer [UK], Issue 110

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In the table, we define A*’s mean time per move as the total planning time for a problem divided by the number of moves in the path A* finds. We average this quantity over all problems. kNN LRTA* is about 30 times faster than A* per move. 2 Database Precomputation Time Suboptimality versus database precomputation time is shown in Table 2. Note that while the times are roughly between 10 and 100 h, they are reported for singlethreaded computations. 96 20 V. Bulitko et al. the precomputation process scales up linearly with the number of threads.

RIBS is a promising approach but, given its recency, further empirical evaluation as well as algorithmic improvements are necessary. In particular, variants of RIBS that forgo the eventual identification of optimal paths and, as a result, find better suboptimal solutions can be explored. 9 Conclusions In this chapter, we considered the problem of real-time heuristic search whose planning time per move does not depend on the number of states. We reviewed three modern algorithms, each with its strengths and weaknesses.

RIBS is an interesting way of moving TBA* closer to being an agent-centered approach – an important consideration for some problem domains. The algorithm also provides added insights into how real-time search agents can learn heuristics. Acknowledgements Parts of this chapter have been previously published as conference and journal articles written by the authors. This research was supported by grants from the National Science and Engineering Research Council of Canada (NSERC) and the Icelandic Centre for Research (RANNÍS).

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360 Gamer [UK], Issue 110

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