• Aucun résultat trouvé

Monte-Carlo Kakuro

N/A
N/A
Protected

Academic year: 2021

Partager "Monte-Carlo Kakuro"

Copied!
10
0
0

Texte intégral

Loading

Figure

Fig. 1. Number of solved problems for different percentage of holes and different algorithms with a timeout of 10 seconds per problem, 10x10 grids, values ranging from 1 to 11
Fig. 2. Time spent for all problems for different percentage of holes and different algorithms with a timeout of 10 seconds per problem, 10x10 grids, values ranging from 1 to 11
Table 5. Solving empty 8x8 grids with different numbers of possible values, timeout of 1,000 seconds

Références

Documents relatifs

Then a scalability study of MO- MCTS is made on the NP-hard problem of grid scheduling, showing that the performance of MO-MCTS matches the non RL-based state of the art albeit with

First, the computation times also displayed in the table show that NMC com- putations are within reach provided GPU and the related optimizations are used, even for

(3)- Sandrine- Maljean-Dubois, la mise en œuvre du protocole de kyoto a la convention des nations unies , Op.. تامازتلالا ذيفنتل اهلامعتسا نكمي

Ainsi, les marais ont aujourd'hui perdu tout lien «naturel» avec leur envi- ronnement, qu'il n'est pas envisageable de restaurer, et leur avenir tient en leur

Given the simulations are expensive, the problem is here considered determinis- tic (no noise in the initial state nor in the chosen action)... a) Setup of the acrobot problem.

The main contribution of the paper is the Mosaic AutoML platform, adapting and extend- ing the Monte-Carlo Tree Search setting to tackle the structured optimization problem of

Confrontés dans certains cas à des renseignements bibliographiques lacunaires ou contradictoires, nous avons établi un critère : les renseignements bibliographiques devraient

Assainissement non collectif, dispositifs agréés, culture fixée sur support grossier, disques biologiques, volume utile, capacité de stockage des boues, décantation,