Pages that link to "Item:Q2947906"
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The following pages link to Investigating the Limits of Monte-Carlo Tree Search Methods in Computer Go (Q2947906):
Displaying 9 items.
- Adaptive playouts for online learning of policies during Monte Carlo tree search (Q307776) (← links)
- An analysis for strength improvement of an MCTS-based program playing Chinese dark chess (Q307781) (← links)
- Global and local game tree search (Q1602468) (← links)
- Using deep convolutional neural networks in Monte Carlo tree search (Q1989556) (← links)
- Optimal training for adversarial games (Q2043435) (← links)
- On Semeai Detection in Monte-Carlo Go (Q2947903) (← links)
- A Human-Computer Team Experiment for 9x9 Go (Q3073755) (← links)
- MONTE CARLO GO CAPTURING TACTIC SEARCH (Q5506117) (← links)
- Computer Go: An AI oriented survey (Q5958709) (← links)