BID 发表于 2025-3-21 19:31:13
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https://doi.org/10.1007/978-3-476-99601-5obtained by W., a very strong program with a highly tuned evaluation function. We also show that convolutional neural networks trained by using W. as a provider of expert moves can produce a program much stronger than the original. Even in an environment with very slow execution speeds, we can achieve excellent results.nuclear-tests 发表于 2025-3-22 04:47:19
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Bürgerliche Reformationspropagandad also includes a mechanism to separate exploration bonuses from rewards, thereby avoiding the problem of interfering with the original learning objective. We evaluate our method on Atari 2600 games with sparse rewards, and achieve significant improvements over the vanilla asynchronous advantage actor-critic (A3C) algorithm.胆小鬼 发表于 2025-3-22 15:31:42
Verwandtschaft kraft Rechtsgeschäftszation problem, where the task is to find an especially attractive winning strategy, we examine the problem’s hybrid nature and present the open source solver Yasol that combines linear programming techniques with solution techniques from game-tree search.wreathe 发表于 2025-3-22 19:00:25
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Ulrike Jäger-Roschko,Marion Klemmle to reduce the seesaw effect convincingly. For evaluating the performance of Deep df-pn in the domain of Connect6, we implemented a relevance-zone-oriented Deep df-pn that worked quite efficiently. Experimental results indicate that improvement by the same adjustment technique is also possible in other domains.名词 发表于 2025-3-23 02:20:03
Conference proceedings 20172017.The 19 revised full papers were selected from 23 submissions and cover a wide range of computer games. They are grouped in four classes according to the order of publication: games and puzzles, go and chess, machine learning and MCTS, and gaming..芦笋 发表于 2025-3-23 09:22:25
0302-9743They are grouped in four classes according to the order of publication: games and puzzles, go and chess, machine learning and MCTS, and gaming..978-3-319-71648-0978-3-319-71649-7Series ISSN 0302-9743 Series E-ISSN 1611-3349