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cs.AI2014★ 6 cited
Monte Carlo Tree Search with Heuristic Evaluations using Implicit Minimax Backups
Marc Lanctot, Mark H. M. Winands, Tom Pepels +1
Monte Carlo Tree Search (MCTS) has improved the performance of game engines in domains such as Go, Hex, and general game playing. MCTS has been shown to outperform classic alpha-be…
cs.GT2014
Computing Approximate Nash Equilibria and Robust Best-Responses Using Sampling
Marc Ponsen, Steven de Jong, Marc Lanctot
This article discusses two contributions to decision-making in complex partially observable stochastic games. First, we apply two state-of-the-art search techniques that use Monte-…