By Deird're Brooks, Richard Dakan
White Wolf Clanbook Ventrue Revised Vampire Masquerade
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This would possibly not be the world's greatest dungeon, yet its definitely the deadliest! The granddaddy of all dungeons returns! From the lair of Zelkor to the lair of Orcus, intrepid adventurers have crawled those halls for many years. Treasures and monsters abound, yet are you able to locate your manner out back? misplaced within the pink mists, you ask yourself.
Clanbook Baali (Vampire: The darkish a long time Clanbooks). international of Darkness.
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Extra resources for Clanbook: Ventrue (Vampire: The Masquerade Clanbooks)
5 CF, classiﬁer; GA, genetic algorithm Table 3. Performance of reactive agents and human players Player Reward Reactive agent Human players 133 (126) 174 (141) Values in parentheses are rounded to the resolutions shown in Table 1 Experimental Results As the baseline of the series of the experiments described below, we validated the game rewards of the reactive agents and human (best) players in Table 3. In Table 3, rewards 133 and 174 are those obtained during the game, and rewards 126 and 141 are the values rounded to the resolutions of decisions shown in Table 1.
The U-Mart system is the collective name of the simulation environment in which futures of Mainichi Shimbun J30, an actual stock index, are traded on a virtual market, so that it can reﬂect the complexity of the actual market and at the same time form a unique price (Fig. 1). The U-Mart system is a server–client system that uses a dedicated protocol built on TCP/IP to exchange trading information on the Internet. The server that simulates the stock exchange accepts orders from clients, executes pricing and trading, and manages the asset account.
The action rule parameters in the reinforcement learning system are the ﬁrms’ cash, and the difference between their technological levels and average technological level. Firm agents select and carry out an action rule from their action rule sets in proportion to the weight of the action rule (Roulette selection). The set of action rules is shown in Eq. 10. Ax and Bx denote the conditional parts of the rule x, while Cx and Dx denote the action parts of the rule x. Wpx denotes the weight of proﬁt maximization of rule x, Wsx denotes the weight of market share maximization of rule x, and Wtx denotes the weight of technological level maximization of rule x.