Titlebook: Computer Games; 5th Workshop on Comp Tristan Cazenave,Mark H.M. Winands,Julian Togelius Conference proceedings 2017 Springer International

符合國(guó)情

ARM

愛(ài)好

Integrating Factorization Ranked Features in MCTS: An Experimental Studyiction system of Latent Factor Ranking (LFR). In this paper, we investigate the problem of integrating feature knowledge learned by FBT model in Monte Carlo Tree Search. We use the open source Go program Fuego as the test platform. Experimental results show that the FBT knowledge is useful in improv

Hemiplegia

Nested Rollout Policy Adaptation with Selective Policiesed Rollout Policy Adaptation (NRPA) is an MCTS variant that has found record-breaking solutions for puzzles and optimization problems. It learns a playout policy online that dynamically adapts the playouts to the problem at hand. We propose to enhance NRPA using more selectivity in the playouts. The

增強(qiáng)

A Rollout-Based Search Algorithm Unifying MCTS and Alpha-Betang moves. In order to combine the strategic strength of MCTS and the tactical strength of minimax, . have been introduced in prior work, embedding shallow minimax searches into the MCTS framework. This paper continues this line of research by integrating MCTS and minimax even more tightly into one r

mortgage

inspiration

Mere僅僅

AI Wolf Contest — Development of Game AI Using Collective Intelligence —sent the Werewolf game as a standard game problem in the AI field. It is similar to game problems such as Chess, Shogi, Go, and Poker. The Werewolf game is a communication game that requires several AI technologies such as multi-agent coordination, intentional reading, and understanding of the theor

平息

epicardium