A Bayesian Approach to Online Planning
N Greshler, DB Eli, C Rabinovitz, G Guetta… - arXiv preprint arXiv …, 2024 - arxiv.org
The combination of Monte Carlo tree search and neural networks has revolutionized online
planning. As neural network approximations are often imperfect, we ask whether uncertainty …
planning. As neural network approximations are often imperfect, we ask whether uncertainty …
Computer go and monte carlo tree search: opening book and parallel solutions
ES Steinmetz - 2016 - search.proquest.com
Computer Go and Monte Carlo Tree Search: Opening Book and Parallel Solutions Page 1
Computer Go and Monte Carlo Tree Search: Opening Book and Parallel Solutions A …
Computer Go and Monte Carlo Tree Search: Opening Book and Parallel Solutions A …
Self-play deep learning for games: Maximising experiences
J West - 2020 - eprints.qut.edu.au
This thesis describes several studies focused on improving the learning efficiency to train a
combined tree-search/neural-network reinforcement learning agent for different board …
combined tree-search/neural-network reinforcement learning agent for different board …
Accelerate parallel deep learning inferences with MCTS in the game of Go
The performance of Deep Learning Inference is a serious issue when combining with speed
constraint Monte Carlo Tree Search (MCTS). Traditional hybrid CPU and Graphics …
constraint Monte Carlo Tree Search (MCTS). Traditional hybrid CPU and Graphics …
Accelerate Deep Learning Inference with MCTS in the game of Go on the Intel Xeon Phi
CN Lin, SJ Yen - Game Programming Workshop, 2016 - ipsj.ixsq.nii.ac.jp
The performance of Deep Learning Inference is a serious issue when combining with speed
delicate Monte Carlo Tree Search. Traditional hybrid CPU and Graphics processing unit …
delicate Monte Carlo Tree Search. Traditional hybrid CPU and Graphics processing unit …