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Stabilized Nested Rollout Policy Adaptation
Nested Rollout Policy Adaptation (NRPA) is a Monte Carlo search algorith...
01/10/2021 ∙ by Tristan Cazenave, et al. ∙
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Minimax Strikes Back
Deep Reinforcement Learning (DRL) reaches a superhuman level of play in ...
12/19/2020 ∙ by Quentin Cohen-Solal, et al. ∙
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Mobile Networks for Computer Go
The architecture of the neural networks used in Deep Reinforcement Learn...
08/23/2020 ∙ by Tristan Cazenave, et al. ∙
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Monte Carlo Inverse Folding
The RNA Inverse Folding problem comes from computational biology. The go...
05/20/2020 ∙ by Tristan Cazenave, et al. ∙
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Generalized Nested Rollout Policy Adaptation
Nested Rollout Policy Adaptation (NRPA) is a Monte Carlo search algorith...
03/22/2020 ∙ by Tristan Cazenave, et al. ∙
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Polygames: Improved Zero Learning
Since DeepMind's AlphaZero, Zero learning quickly became the state-of-th...
01/27/2020 ∙ by Tristan Cazenave, et al. ∙
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Monte Carlo Game Solver
We present a general algorithm to order moves so as to speedup exact gam...
01/15/2020 ∙ by Tristan Cazenave, et al. ∙
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The αμ Search Algorithm for the Game of Bridge
αμ is an anytime heuristic search algorithm for incomplete information g...
11/18/2019 ∙ by Tristan Cazenave, et al. ∙
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Learning opening books in partially observable games: using random seeds in Phantom Go
Many artificial intelligences (AIs) are randomized. One can be lucky or ...
07/08/2016 ∙ by Tristan Cazenave, et al. ∙
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